Text Classification
Transformers
Safetensors
llama
Generated from Trainer
trl
reward-trainer
text-embeddings-inference
Instructions to use glbval/trainer_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use glbval/trainer_output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="glbval/trainer_output")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("glbval/trainer_output") model = AutoModelForSequenceClassification.from_pretrained("glbval/trainer_output") - Notebooks
- Google Colab
- Kaggle
glbval/llm-course-hw2-reward-model
Browse files- model.safetensors +1 -1
- training_args.bin +1 -1
model.safetensors
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