(self, text, **kwargs) -> List[str]: """ Converts a string in a sequence of tokens (string), using the tokenizer. Split in words for word-based vocabulary or sub-words for sub-word-based vocabularies (BPE/SentencePieces/WordPieces). Do NOT take care of added tokens. """ return ...
找到“开发者设置”(Developer settings)或类似的选项。 在“个人访问令牌”(Personal access tokens)或“访问令牌”(Access tokens)部分,点击“生成新令牌”(Generate new token)。 根据需要选择令牌的作用域(scopes),通常对于Git操作,选择repo或相关权限即可。 生成令牌后,复制并保存它,因为一旦离开页面,你将无法再次...
pipeline( model=model, tokenizer=tokenizer, return_full_text=True, task='text-generation', stopping_criteria=stopping_criteria, temperature=0.3, max_new_tokens=512, repetition_penalty=1.1 ) result = generate_text("What are the primary mechanisms underlying antibiotic resistance, and how can we deve...
line 77, in <module> outputs = model.generate(**inputs, max_new_tokens = 4096, use_cache = False) File "/home/adrin/anaconda3/envs/unsloth_env/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) File...