Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use DarshanDeshpande/distilbert_eli5_reward_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DarshanDeshpande/distilbert_eli5_reward_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DarshanDeshpande/distilbert_eli5_reward_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DarshanDeshpande/distilbert_eli5_reward_model") model = AutoModelForSequenceClassification.from_pretrained("DarshanDeshpande/distilbert_eli5_reward_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec4c61c460a4b7a2e712ca19a61582baf65611b156e132520883f3489cf8d30b
- Size of remote file:
- 4.86 kB
- SHA256:
- f82150cc196dec99e2c4239354bbc9b71d4b446f81ee6787dcc5c27218d608d6
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