Instructions to use eclec/patentClassificationLongFormer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eclec/patentClassificationLongFormer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="eclec/patentClassificationLongFormer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("eclec/patentClassificationLongFormer") model = AutoModelForSequenceClassification.from_pretrained("eclec/patentClassificationLongFormer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from eclec/patentClassificationLongFormer: direct link, hf CLI and curl.
- Browser
- Download file 3.96 kB
-
https://huggingface.co/eclec/patentClassificationLongFormer/resolve/main/training_args.bin
- Command line
-
hf download hf://eclec/patentClassificationLongFormer/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/eclec/patentClassificationLongFormer/resolve/main/training_args.bin
3.96 kB
- Xet hash:
- 76d267e2bc599a755a3b8aec550a4267b6343c904295a260cfdec29ff251f2b5
- Size of remote file:
- 3.96 kB
- SHA256:
- a4bd6b2643f26aa6098815db4f013b20555222bfa76ab6b339893fd2c6a0d5ae
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