Instructions to use howey/electra-small-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use howey/electra-small-mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="howey/electra-small-mnli")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("howey/electra-small-mnli") model = AutoModelForSequenceClassification.from_pretrained("howey/electra-small-mnli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from howey/electra-small-mnli: direct link, hf CLI and curl.
- Browser
- Download file 2.42 kB
-
https://huggingface.co/howey/electra-small-mnli/resolve/main/training_args.bin
- Command line
-
hf download hf://howey/electra-small-mnli/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/howey/electra-small-mnli/resolve/main/training_args.bin
2.42 kB
- Xet hash:
- b7a65f4171c65810d8bd85f295bad138348b95b61a6cc384844072e7c79a8511
- Size of remote file:
- 2.42 kB
- SHA256:
- c389f66d26bccf28c69802995b0741d5e927011d6f40283d64cfc28160b9c361
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