Text Classification
Transformers
Safetensors
English
llama
RLHF
Nexusflow
Athene
Reward Model
text-embeddings-inference
Instructions to use Nexusflow/Athene-RM-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nexusflow/Athene-RM-8B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Nexusflow/Athene-RM-8B")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Nexusflow/Athene-RM-8B") model = AutoModelForSequenceClassification.from_pretrained("Nexusflow/Athene-RM-8B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ffd95330eac83ef258b1e1f2760c390905ee7cccfd87fef3c0cddce430e33158
- Size of remote file:
- 6.2 kB
- SHA256:
- db5bded1d0e26051a30b786371ed0323ff86b1042ccdfcd12a3ee05e7e7c1c67
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