Instructions to use VERSIL91/691b51e8-e2cd-46f0-877e-9087931b9edb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VERSIL91/691b51e8-e2cd-46f0-877e-9087931b9edb with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("samoline/4f3782a6-7b9f-4ebe-b488-6b278dfed6e4") model = PeftModel.from_pretrained(base_model, "VERSIL91/691b51e8-e2cd-46f0-877e-9087931b9edb") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from VERSIL91/691b51e8-e2cd-46f0-877e-9087931b9edb: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/VERSIL91/691b51e8-e2cd-46f0-877e-9087931b9edb/resolve/main/tokenizer.json
- Command line
-
hf download hf://VERSIL91/691b51e8-e2cd-46f0-877e-9087931b9edb/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/VERSIL91/691b51e8-e2cd-46f0-877e-9087931b9edb/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- 767d583ff244941974206d06ee11ea8876fee19fb806ed1653a3d90a5aece5a4
- Size of remote file:
- 17.2 MB
- SHA256:
- 0968dcc0ee8e56c7dccd34a7f51f8065ea0cb9e2cc529e3243d1e5c0a4bdaa0c
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