Instructions to use ai-shift/sample-model-rm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ai-shift/sample-model-rm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ai-shift/sample-model-rm")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ai-shift/sample-model-rm") model = AutoModelForSequenceClassification.from_pretrained("ai-shift/sample-model-rm") - 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 sha256:7eb9bf1942d43d2dec2989129311d9d8c1b306293b4917fabd6066873159622b
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size 500288928
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