Instructions to use RajuEEE/RL_RL_ExtractiveSummary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use RajuEEE/RL_RL_ExtractiveSummary with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("gpt2-large") model = PeftModel.from_pretrained(base_model, "RajuEEE/RL_RL_ExtractiveSummary") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from RajuEEE/RL_RL_ExtractiveSummary: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
-
https://huggingface.co/RajuEEE/RL_RL_ExtractiveSummary/resolve/main/tokenizer.json
- Command line
-
hf download hf://RajuEEE/RL_RL_ExtractiveSummary/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/RajuEEE/RL_RL_ExtractiveSummary/resolve/main/tokenizer.json
2.11 MB
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