YOURPATH = '/somewhere/on/disk/' name = 'transfo-xl-wt103' tokenizer = TransfoXLTokenizerFast(name) model = TransfoXLModel.from_pretrained(name) tokenizer.save_pretrained(YOURPATH) model.save_pretrained(YOURPATH) >>> Please note you will not be able to load the save vocabulary in Rust-ba...
I tried to save the model withpipe.save_pretrained("./local_model_directory")and then load the model in the second run with `pipe("object-detection", model="./local_model_directory"). This throws an error and doesn't work at all. 1. Run: Saving to Local Disk ✅ pipe = pi...
方法2:import transformers as ppb model = ppb.BertForSequenceClassification.from_pretrained('bert-bas...
AutoModelForCausalLMtokenizer=AutoTokenizer.from_pretrained("internlm/internlm2-chat-7b",trust_remote...
也可以使用--local-dir指定下载路径。 然后调用模型就是按照官网教的方式: # 使用Auto方法 from transformers import AutoModel, AutoTokenizer model = AutoModel.from_pretrained("hfl/rbt3") tokenizer = AutoTokenizer.from_pretrained("hfl/rbt3")
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):ModuleList((0):BloomBlock((input_layernorm):LayerNorm((1024,),eps=1e-05,elementwise...
--- AttributeError Traceback (most recent call last) File ~\AppData\Local\Programs\Python\Python311\Lib\site-packages\modelscope\utils\import_utils.py:439, in LazyIm...
If you wish to load a local model, then this model should be saved out to either the hub or locally and the path to its location passed tofrom_pretrainede.g.: model.save_pretained('path/to/my/model') # Model with adapted methods model = ModelClass.from_pretrained('path/to/my/model...
在执行tokenizer.save_pretrained("local-pt-checkpoint")时,输出如下: 接下来我们可以在本地磁盘上看到保存下来的模型文件及相关配置: 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/ ...
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 ...