Text Classification
Transformers
Safetensors
mistral
Generated from Trainer
trl
reward-trainer
text-embeddings-inference
Instructions to use lblaoke/mistral-v0.3-7b-rm-self with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lblaoke/mistral-v0.3-7b-rm-self with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lblaoke/mistral-v0.3-7b-rm-self")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lblaoke/mistral-v0.3-7b-rm-self") model = AutoModelForSequenceClassification.from_pretrained("lblaoke/mistral-v0.3-7b-rm-self") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c2c4979302b16bcd7b50fa7f67933a4162421b49f7b887b589471990336ff0bd
- Size of remote file:
- 5.3 kB
- SHA256:
- e1d23f6e63c410a98bbd627be4d69376154bcf297b75a59d7c6762c8affe1b3a
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