I am trying to load LLM from the local disk of my laptop which is not working. when i try to load with the following approach its working as expected and i am getting response to my query. def load_llm(): # Load the locally downloaded model here llm = CTransformers( model = "TheB...
I'm trying to save themicrosoft/table-transformer-structure-recognitionHuggingface model (and potentially its image processor) to my local disk in Python 3.10. The goal is to load the model inside a Docker container later on without having to pull the model weights and configs from Huggin...
import torch from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("internlm/internlm2-chat-7b", trust_remote_code=True, cache_dir='/home/{username}/huggingface') # Set `torch_dtype=torch.float16` to load model in float16, otherwise it will be...
3. 下载需要登录的模型(Gated Model) 请添加 --token hf_*** 参数,其中 hf_*** 是access token,请在 Hugging Face官网这里 获取。示例: huggingface-cli download --token hf_*** --resume-download --local-dir-use-symlinks False meta-llama/Llama-2-7b-hf --local-dir Llama-2-7b-hf hf_transfe...
方法2:import transformers as ppb model = ppb.BertForSequenceClassification.from_pretrained('bert-...
模型使用第一个单独的BertSelfAttention层,但我从torch.hub加载的模型似乎与hugginface transformers.models.bert.modeling_bert中使用的模型不同: import torch, transformers tokenizer = transformers.BertTokenizer.from_pretrained('bert-base-uncased', do_lower_case=True) torch_model = torch.hub.load('...
to load model from.--featureFEATUREThe typeoffeatures toexportthe modelwith.--opsetOPSETONNXopset version toexportthe modelwith.--atolATOLAbsolute difference tolerance when validating the model.--framework{pt,tf}The framework to usefortheONNXexport.If not provided,will attempt to use the local ...
一旦checkpoint被保存,我们可以通过将transformers.ONNX包的--model参数指向所需的目录将其导出到ONNX: python -m transformers.onnx --model=local-pt-checkpoint onnx/ TensorFlow: from transformers import AutoTokenizer, TFAutoModelForSequenceClassification# 从hub加载tokenizer和TensorFlow weightstokenizer = AutoTo...
--- AttributeError Traceback (most recent call last) File ~\AppData\Local\Programs\Python\Python311\Lib\site-packages\modelscope\utils\import_utils.py:439, in LazyIm...
这个模型,下载tokenizer,以及checkpoint;然后调用get_peft_model方法,从model构造model。 第一步load进来的model的细节: model init BloomForCausalLM((transformer):BloomModel((word_embeddings):Embedding(250880,1024)(word_embeddings_layernorm):LayerNorm((1024,),eps=1e-05,elementwise_affine=True)(h):ModuleL...