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
Commit ·
a81159b
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Parent(s): fa766e5
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:312d70f40247ef5a4817e00753679737a2df28adaedeac2b4027a0f5bc862e57
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size 1421461227
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