The issue only manifests if you're trying to load a local model and the model doesn't have the safetensors weights. Here is how to reproduce: @Narsilhi , could you please tell us more detail about how to mount the model locally? if the parameters are in ~/.cache/huggingface/hub/mo...
when loading or saving the model locally, I think you have to specify path to the file and not to the directory, e. g. tagger.save('path/to/directory/tagger_model.pt') tagger = SequenceTagger.load('path/to/directory/tagger_model.pt') When loading the model with SequenceTagger.load("f...
Hugging Face also providestransformers, a Python library that streamlines running a LLM locally. The following example uses the library to run an older GPT-2microsoft/DialoGPT-mediummodel. On the first run, the Transformers will download the model, and you can have five interactions with it. Th...
To ensure optimal performance and flexibility, we have partnered with open-source communities and hardware vendors to provide multiple ways to run the model locally. For step-by-step guidance, check out Section 6: How_to Run_Locally. For developers looking to dive deeper, we recommend exploring...
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 ...
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...
model-00007-of-000055.safetensors8.01 GB Upload folder using huggingface_hub 8个月前 model-00008-of-000055.safetensors8.01 GB Upload folder using huggingface_hub 8个月前 model-00009-of-000055.safetensors8.01 GB Upload folder using huggingface_hub ...
To use our model with ComfyUI, please follow the instructions at a dedicatedComfyUI repo. Run locally Installation The codebase was tested with Python 3.10.5, CUDA version 12.2, and supports PyTorch >= 2.1.2. gitclonehttps://github.com/Lightricks/LTX-Video.gitcdLTX-Video# create envpython...
//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-...
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)"&&\ ...