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 special_tokens_map.json from koshirowada/pythia_70m_RM: direct link, hf CLI and curl.
- Browser
- Download file 473 Bytes
-
https://huggingface.co/koshirowada/pythia_70m_RM/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://koshirowada/pythia_70m_RM/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/koshirowada/pythia_70m_RM/resolve/main/special_tokens_map.json
473 Bytes
| { | |
| "bos_token": { | |
| "content": "<|endoftext|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "eos_token": { | |
| "content": "<|endoftext|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": "<|endoftext|>", | |
| "unk_token": { | |
| "content": "<|endoftext|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |