Text Classification
Transformers
Safetensors
llama
Generated from Trainer
trl
reward-trainer
text-embeddings-inference
Instructions to use tsessk/llm-course-hw2-reward-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tsessk/llm-course-hw2-reward-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tsessk/llm-course-hw2-reward-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tsessk/llm-course-hw2-reward-model") model = AutoModelForSequenceClassification.from_pretrained("tsessk/llm-course-hw2-reward-model") - Notebooks
- Google Colab
- Kaggle
| 2025-03-05 14:26:41,014 DEBUG root Loaded Command Group: | |
| 2025-03-05 14:26:41,057 DEBUG root Loaded Command Group: | |
| 2025-03-05 14:26:41,059 DEBUG root Running | |
| 2025-03-05 14:26:41,060 INFO ___FILE_ONLY___ Updated property | |
| 2025-03-05 14:26:41,061 DEBUG root Chosen display Format:default | |
| 2025-03-05 14:26:41,061 INFO root Display format: "default" | |
| 2025-03-05 14:26:41,062 DEBUG root SDK update checks are disabled. | |