Text Classification
Transformers
TensorBoard
Safetensors
gpt_neox
Generated from Trainer
trl
reward-trainer
Instructions to use koshirowada/pythia_70m_RM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use koshirowada/pythia_70m_RM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="koshirowada/pythia_70m_RM")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("koshirowada/pythia_70m_RM") model = AutoModelForSequenceClassification.from_pretrained("koshirowada/pythia_70m_RM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from koshirowada/pythia_70m_RM: direct link, hf CLI and curl.
- Browser
- Download file 111 Bytes
-
https://huggingface.co/koshirowada/pythia_70m_RM/resolve/main/generation_config.json
- Command line
-
hf download hf://koshirowada/pythia_70m_RM/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/koshirowada/pythia_70m_RM/resolve/main/generation_config.json
111 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 0, | |
| "eos_token_id": 0, | |
| "transformers_version": "4.46.2" | |
| } | |