ModuleNotFoundError: No module named 'transformers' It seems that you are missing some dependencies. This is not a bug of LeptonAI library, and is due to the underlying photon requiring dependencies. When running photons locally, we intentionally refrain from installing these dependencies for you,...
The models are automatically cached locally when you first use it. So, to download a model, all you have to do is run the code that is provided in the model card (I chose the corresponding model card for bert-base-uncased). At the top right of the page you can find a button called...
"hidden_size": 32, "num_classes": 10} model = MyModel(config=config) # save locally model.save_pretrained("my-awesome-model", config=config) # push to the hub model.push_to_hub("my-awesome-model", config=config) # reload model = MyModel.from_pretrained("username/my-awesome-model"...
Open Same question. Thank you. If you don't want/cannot to use the built-in download/caching method, you can download both files manually, save them in a directory and rename them respectivelyconfig.jsonandpytorch_model.bin Then you can load the model usingmodel = BertModel.from_pretrained...
(https://huggingface.co/blog/large-language-models))# 火山引擎大模型训练框架 veGiantModel针对这个需求,字节跳动 AML 团队内部开发了火山引擎大模型训练框架 veGiantModel。基于 PyTorch 框架,veGiantModel 是以 Megatron 和 DeepSpeed 为基础的高性能大模型训练框架。其特点包括:- 同时支持数据并行、算子切分、流...
These modelshave an interesting feature. They run well on the cloud platform, but once you want to run them locally, you have to struggle. You can always see user feedback in the GitHub associated with the project: this model and code , I can't run it locally, it's too troublesome ...
pip install torch==1.12.1+cpu--extra-index-url https://download.pytorch.org/whl/cpu&&\ pip cache purgeRUNpython-c"from transformers import pipeline; pipeline('text-classification',model='bhadresh-savani/bert-base-uncased-emotion', top_k=1)"&&\ ...
Incorrectly specified or missing tokenizer in the model package can result in OSError: Can't load tokenizer for <model> error.Missing librariesSome models need additional python libraries. You can install missing libraries when running models locally. Models that need special libraries beyond the ...
//download.pytorch.org/whl/cpu&&\pip cache purgeRUNpython -c"from transformers import pipeline; pipeline('text-classification',model='bhadresh-savani/bert-base-uncased-emotion', top_k=1)"&&\python -c"import transformers; transformers.utils.move_cache()"WORKDIR/app/COPY./docker/bert-base-...
optimum-cli inc quantize --model distilbert-base-cased-distilled-squad --output ./quantized_distilbert To load a model quantized with Intel Neural Compressor, hosted locally or on the 🤗 hub, you can do as follows : fromoptimum.intelimportINCModelForSequenceClassification model_id ="Intel/dist...