Instructions to use vikp/instruction_learning_rater with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vikp/instruction_learning_rater with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vikp/instruction_learning_rater")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vikp/instruction_learning_rater") model = AutoModelForSequenceClassification.from_pretrained("vikp/instruction_learning_rater", 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 sha256:779b964661dd8fdba451b81a3ab889b8aa809af17fa9eebe8b1c8fc7690f05ed
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size 494782744
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