Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use JayShah07/reward_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JayShah07/reward_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JayShah07/reward_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JayShah07/reward_model") model = AutoModelForSequenceClassification.from_pretrained("JayShah07/reward_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 3
Browse files
model.safetensors
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runs/Feb13_04-43-14_2212d2f3b74b/events.out.tfevents.1739421800.2212d2f3b74b.256.0
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training_args.bin
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