Instructions to use gavrilstep/85aa9e5d-cbb6-4fe6-9e71-d69f333295b0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gavrilstep/85aa9e5d-cbb6-4fe6-9e71-d69f333295b0 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Theta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "gavrilstep/85aa9e5d-cbb6-4fe6-9e71-d69f333295b0") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from gavrilstep/85aa9e5d-cbb6-4fe6-9e71-d69f333295b0: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/gavrilstep/85aa9e5d-cbb6-4fe6-9e71-d69f333295b0/resolve/a5830e969cf616d64d2fd52c836c3b2bfe858030/tokenizer.json
- Command line
-
hf download hf://gavrilstep/85aa9e5d-cbb6-4fe6-9e71-d69f333295b0@a5830e969cf616d64d2fd52c836c3b2bfe858030/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/gavrilstep/85aa9e5d-cbb6-4fe6-9e71-d69f333295b0/resolve/a5830e969cf616d64d2fd52c836c3b2bfe858030/tokenizer.json
17.2 MB
- Xet hash:
- 75dddd603b4a258a574633256a0360c69b223eb9b3a19dcaae109746ceed432f
- Size of remote file:
- 17.2 MB
- SHA256:
- 191cb3e9bd55f46b3d72f7f6f39c98c3ee94148edc7787a29dad75d112c93ccb
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