Instructions to use nruigrok/NLP_NLI_Success with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nruigrok/NLP_NLI_Success with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nruigrok/NLP_NLI_Success")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nruigrok/NLP_NLI_Success") model = AutoModelForSequenceClassification.from_pretrained("nruigrok/NLP_NLI_Success", 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:eb3f6a4fd5eda7a87c5b9e32a0f8d9680ded4cabf0ba16ab33b7db29b02d3af2
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size 1115275476
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