Text Classification
Transformers
Safetensors
mistral
trl
reward-trainer
Generated from Trainer
text-embeddings-inference
Instructions to use bidit/mistral-reward with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bidit/mistral-reward with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bidit/mistral-reward")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bidit/mistral-reward") model = AutoModelForSequenceClassification.from_pretrained("bidit/mistral-reward", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from bidit/mistral-reward: direct link, hf CLI and curl.
- Browser
- Download file 1.8 MB
-
https://huggingface.co/bidit/mistral-reward/resolve/main/tokenizer.json
- Command line
-
hf download hf://bidit/mistral-reward/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/bidit/mistral-reward/resolve/main/tokenizer.json
1.8 MB
File too large to display, you can check the raw version instead.