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 model.safetensors from koshirowada/pythia_70m_RM: direct link, hf CLI and curl.
- Browser
- Download file 179 MB
-
https://huggingface.co/koshirowada/pythia_70m_RM/resolve/main/model.safetensors
- Command line
-
hf download hf://koshirowada/pythia_70m_RM/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/koshirowada/pythia_70m_RM/resolve/main/model.safetensors
179 MB
- Xet hash:
- 7745eb0c6733db3440047198bea5b62f6e8ee20a86335878245588595edc76f3
- Size of remote file:
- 179 MB
- SHA256:
- 3e283707b895e0abb3c41db7f25da7d9859c38022fbd35d676cc4f5efbdadc6a
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