Instructions to use eclec/patentClassificationLongFormer3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eclec/patentClassificationLongFormer3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="eclec/patentClassificationLongFormer3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("eclec/patentClassificationLongFormer3") model = AutoModelForSequenceClassification.from_pretrained("eclec/patentClassificationLongFormer3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f2e9f0cbf89ced6998333ad43ded78d0f9de8371d865eaed52bd70ae084346d
- Size of remote file:
- 3.96 kB
- SHA256:
- c94f1e84203ef3420e82df480ea71cf7fee68cad915c33c7781e5f562dfe42ef
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