Instructions to use Huntersx/cola_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Huntersx/cola_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Huntersx/cola_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Huntersx/cola_model") model = AutoModelForSequenceClassification.from_pretrained("Huntersx/cola_model") - Notebooks
- Google Colab
- Kaggle
Commit ·
7b85a3e
1
Parent(s): b26c001
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:f8fa81c2f9e099a35d1ac33f4a45d68b7a1cc0b20ced7b3fc1599ef3ff6ebd6d
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size 437942328
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