Instructions to use ethanrom/a2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ethanrom/a2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ethanrom/a2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ethanrom/a2") model = AutoModelForSequenceClassification.from_pretrained("ethanrom/a2") - Notebooks
- Google Colab
- Kaggle
Commit ·
6894c06
1
Parent(s): 1e04cb8
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (b16f7ff7e727db65697e82b36b8993aa9ca617a5)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:fab741d8d69cfa23b6b7005f28858b6213f9b6c6718ff518a962c765a9de0cce
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size 1421507816
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