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 pytorch_model.bin from howey/electra-small-mnli: direct link, hf CLI and curl.
- Browser
- Download file 54.3 MB
-
https://huggingface.co/howey/electra-small-mnli/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://howey/electra-small-mnli/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/howey/electra-small-mnli/resolve/main/pytorch_model.bin
54.3 MB
- Xet hash:
- 8cfeafc80a617026339ed8f16698ad127612462d2432e211297f396233d6300f
- Size of remote file:
- 54.3 MB
- SHA256:
- ae86727df22707ba56d68b5ddcfb5bc33a78d66726399f78d3276adcf8c9dae5
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