Instructions to use mjwong/mcontriever-xnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mjwong/mcontriever-xnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="mjwong/mcontriever-xnli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mjwong/mcontriever-xnli") model = AutoModelForSequenceClassification.from_pretrained("mjwong/mcontriever-xnli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
e01eee6
1
Parent(s): 5b5d21e
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (684c63035aa33e3cbfffb98caf842218e403628f)
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 sha256:9fd851fa1cc8d874f685314b13c55ef1e1b2452a04c01a02d4912677510d0728
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size 711450724
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