Instructions to use sohammandal01/bert-reward-model-assignment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sohammandal01/bert-reward-model-assignment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sohammandal01/bert-reward-model-assignment")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sohammandal01/bert-reward-model-assignment") model = AutoModelForSequenceClassification.from_pretrained("sohammandal01/bert-reward-model-assignment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from sohammandal01/bert-reward-model-assignment: direct link, hf CLI and curl.
- Browser
- Download file 712 kB
-
https://huggingface.co/sohammandal01/bert-reward-model-assignment/resolve/main/tokenizer.json
- Command line
-
hf download hf://sohammandal01/bert-reward-model-assignment/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/sohammandal01/bert-reward-model-assignment/resolve/main/tokenizer.json
712 kB
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