Text Classification
Transformers
PyTorch
Safetensors
English
roberta
rlhf
reward-model
text-embeddings-inference
Instructions to use argilla/roberta-base-reward-model-falcon-dolly with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use argilla/roberta-base-reward-model-falcon-dolly with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="argilla/roberta-base-reward-model-falcon-dolly")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("argilla/roberta-base-reward-model-falcon-dolly") model = AutoModelForSequenceClassification.from_pretrained("argilla/roberta-base-reward-model-falcon-dolly") - Notebooks
- Google Colab
- Kaggle
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