Instructions to use ys7yoo/sts_nli_inference_fold1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ys7yoo/sts_nli_inference_fold1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ys7yoo/sts_nli_inference_fold1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ys7yoo/sts_nli_inference_fold1") model = AutoModelForSequenceClassification.from_pretrained("ys7yoo/sts_nli_inference_fold1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:642162109cd2d448b3570fa140b2dc518ce2ac33fa73a48599c16a1d2dfa9c67
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size 1346682028
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