Instructions to use morit/french_xlm_xnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use morit/french_xlm_xnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="morit/french_xlm_xnli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("morit/french_xlm_xnli") model = AutoModelForSequenceClassification.from_pretrained("morit/french_xlm_xnli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from morit/french_xlm_xnli: direct link, hf CLI and curl.
- Browser
- Download file 1.11 GB
-
https://huggingface.co/morit/french_xlm_xnli/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://morit/french_xlm_xnli/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/morit/french_xlm_xnli/resolve/main/pytorch_model.bin
1.11 GB
- Xet hash:
- 84cb4d3f33b3543d4e1fe9b3e812919c95997c1441f27dc5c342ea861a20c658
- Size of remote file:
- 1.11 GB
- SHA256:
- ded281f9c32a5cfc688893695993274b55eca7f3c8c3840a4b26c6efec9b2a6c
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