Text Classification
Transformers
Safetensors
llama
Generated from Trainer
trl
reward-trainer
text-embeddings-inference
Instructions to use zzzhr97/TRM-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zzzhr97/TRM-8B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="zzzhr97/TRM-8B")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("zzzhr97/TRM-8B") model = AutoModelForSequenceClassification.from_pretrained("zzzhr97/TRM-8B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 833eeb647efd800eac84fc0bdb69407fc9d1125b64d915496b90b017c17e93c8
- Size of remote file:
- 6.35 kB
- SHA256:
- 32b5138c301962638da4d78dd509749a52c8d962b693dd4faa482f8179d834f8
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