Instructions to use eclec/patentClassfication2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eclec/patentClassfication2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="eclec/patentClassfication2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("eclec/patentClassfication2") model = AutoModelForSequenceClassification.from_pretrained("eclec/patentClassfication2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 98b80f43ebafab76b49b7a922d3c48be2a12c4f4ca919f4de9aa36cf6cf7a54e
- Size of remote file:
- 3.96 kB
- SHA256:
- d27695d68762d97cb21dc0387eb8c3d69b1d69380becedd3fa197ef4c4134d81
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