Great work~
while I fellow the instructs and finish all the environmental configuration, run usage example
2023-11-29 12:14:00 | INFO | fairseq.tasks.text_to_speech | Please install tensorboardX: pip install tensorboardX
2023-11-29 12:14:00 | INFO | fairseq.file_utils | loading archive file checkpoints/Pre-trained-BioGPT
2023-11-29 12:14:00 | INFO | fairseq.file_utils | loading archive file data
2023-11-29 12:14:01 | INFO | fairseq.tasks.language_modeling | dictionary: 42384 types
2023-11-29 12:14:04 | INFO | fairseq.models.fairseq_model | {'_name': None, 'common': {'_name': None, 'no_progress_bar': False, 'log_interval': 100, 'log_format': None, 'tensorboard_logdir': None, 'wandb_project': None, 'azureml_logging': False, 'seed': 1, 'cpu': False, 'tpu': False, 'bf16': False, 'memory_efficient_bf16': False, 'fp16': True, 'memory_efficient_fp16': False, 'fp16_no_flatten_grads': False, 'fp16_init_scale': 128, 'fp16_scale_window': None, 'fp16_scale_tolerance': 0.0, 'min_loss_scale': 0.0001, 'threshold_loss_scale': None, 'user_dir': None, 'empty_cache_freq': 0, 'all_gather_list_size': 16384, 'model_parallel_size': 1, 'quantization_config_path': None, 'profile': False, 'reset_logging': False, 'suppress_crashes': False, 'use_plasma_view': False, 'plasma_path': '/tmp/plasma'}, 'common_eval': {'_name': None, 'path': None, 'post_process': ............., 'lr': [0.0002]}, 'lr_scheduler': {'_name': 'inverse_sqrt', 'warmup_updates': 20000, 'warmup_init_lr': 1e-07, 'lr': [0.0002]}, 'scoring': {'_name': 'bleu', 'pad': 1, 'eos': 2, 'unk': 3}, 'bpe': {'_name': 'fastbpe', 'bpe_codes': 'data/bpecodes'}, 'tokenizer': {'_name': 'moses', 'source_lang': 'en', 'target_lang': 'en', 'moses_no_dash_splits': False, 'moses_no_escape': False}, 'simul_type': None}
Traceback (most recent call last):
File "test.py", line 3, in
m = TransformerLanguageModel.from_pretrained(
File "/home/lpc/miniconda3/lib/python3.8/site-packages/fairseq/models/fairseq_model.py", line 275, in from_pretrained
return hub_utils.GeneratorHubInterface(x["args"], x["task"], x["models"])
File "/home/lpc/miniconda3/lib/python3.8/site-packages/fairseq/hub_utils.py", line 108, in init
self.bpe = encoders.build_bpe(cfg.bpe)
File "/home/lpc/miniconda3/lib/python3.8/site-packages/fairseq/registry.py", line 61, in build_x
return builder(cfg, *extra_args, **extra_kwargs)
File "/home/lpc/miniconda3/lib/python3.8/site-packages/fairseq/data/encoders/fastbpe.py", line 27, in init
self.bpe = fastBPE.fastBPE(codes)
AttributeError: module 'fastBPE' has no attribute 'fastBPE'
Great work~
while I fellow the instructs and finish all the environmental configuration, run usage example
2023-11-29 12:14:00 | INFO | fairseq.tasks.text_to_speech | Please install tensorboardX: pip install tensorboardX
2023-11-29 12:14:00 | INFO | fairseq.file_utils | loading archive file checkpoints/Pre-trained-BioGPT
2023-11-29 12:14:00 | INFO | fairseq.file_utils | loading archive file data
2023-11-29 12:14:01 | INFO | fairseq.tasks.language_modeling | dictionary: 42384 types
2023-11-29 12:14:04 | INFO | fairseq.models.fairseq_model | {'_name': None, 'common': {'_name': None, 'no_progress_bar': False, 'log_interval': 100, 'log_format': None, 'tensorboard_logdir': None, 'wandb_project': None, 'azureml_logging': False, 'seed': 1, 'cpu': False, 'tpu': False, 'bf16': False, 'memory_efficient_bf16': False, 'fp16': True, 'memory_efficient_fp16': False, 'fp16_no_flatten_grads': False, 'fp16_init_scale': 128, 'fp16_scale_window': None, 'fp16_scale_tolerance': 0.0, 'min_loss_scale': 0.0001, 'threshold_loss_scale': None, 'user_dir': None, 'empty_cache_freq': 0, 'all_gather_list_size': 16384, 'model_parallel_size': 1, 'quantization_config_path': None, 'profile': False, 'reset_logging': False, 'suppress_crashes': False, 'use_plasma_view': False, 'plasma_path': '/tmp/plasma'}, 'common_eval': {'_name': None, 'path': None, 'post_process': ............., 'lr': [0.0002]}, 'lr_scheduler': {'_name': 'inverse_sqrt', 'warmup_updates': 20000, 'warmup_init_lr': 1e-07, 'lr': [0.0002]}, 'scoring': {'_name': 'bleu', 'pad': 1, 'eos': 2, 'unk': 3}, 'bpe': {'_name': 'fastbpe', 'bpe_codes': 'data/bpecodes'}, 'tokenizer': {'_name': 'moses', 'source_lang': 'en', 'target_lang': 'en', 'moses_no_dash_splits': False, 'moses_no_escape': False}, 'simul_type': None}
Traceback (most recent call last):
File "test.py", line 3, in
m = TransformerLanguageModel.from_pretrained(
File "/home/lpc/miniconda3/lib/python3.8/site-packages/fairseq/models/fairseq_model.py", line 275, in from_pretrained
return hub_utils.GeneratorHubInterface(x["args"], x["task"], x["models"])
File "/home/lpc/miniconda3/lib/python3.8/site-packages/fairseq/hub_utils.py", line 108, in init
self.bpe = encoders.build_bpe(cfg.bpe)
File "/home/lpc/miniconda3/lib/python3.8/site-packages/fairseq/registry.py", line 61, in build_x
return builder(cfg, *extra_args, **extra_kwargs)
File "/home/lpc/miniconda3/lib/python3.8/site-packages/fairseq/data/encoders/fastbpe.py", line 27, in init
self.bpe = fastBPE.fastBPE(codes)
AttributeError: module 'fastBPE' has no attribute 'fastBPE'