Instructions to use aloxatel/3JQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aloxatel/3JQ with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aloxatel/3JQ")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aloxatel/3JQ") model = AutoModelForSequenceClassification.from_pretrained("aloxatel/3JQ") - Notebooks
- Google Colab
- Kaggle
Commit ·
e6fc27d
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Parent(s): d27d28d
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 sha256:29bee7cd286a81ed6669ebe33308ddbe4fec4e54644f04116ba63a64e20b6901
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size 1421461227
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