Instructions to use aloxatel/3RH with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aloxatel/3RH with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aloxatel/3RH")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aloxatel/3RH") model = AutoModelForSequenceClassification.from_pretrained("aloxatel/3RH") - Notebooks
- Google Colab
- Kaggle
Update pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:7ac40b0971c5b5bbcc67705e17f702ddd66c5cd8fcfa8f978ffffa03868f59aa
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size 1425748034
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