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 pytorch_model.bin from eclec/patentClassificationLongFormer: direct link, hf CLI and curl.
- Browser
- Download file 1.74 GB
-
https://huggingface.co/eclec/patentClassificationLongFormer/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://eclec/patentClassificationLongFormer/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/eclec/patentClassificationLongFormer/resolve/main/pytorch_model.bin
1.74 GB
- Xet hash:
- 760a323332fb8674ade14f7ef3315887367564d6c10ff7cfea023af1d4ac595a
- Size of remote file:
- 1.74 GB
- SHA256:
- 5dbe4aafe9a838046b0a2387700fae193452f1d50bad975e14486f610bcab7de
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