Instructions to use knc6/diffractgpt_mistral_chemical_formula with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use knc6/diffractgpt_mistral_chemical_formula with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/mistral-7b-bnb-4bit") model = PeftModel.from_pretrained(base_model, "knc6/diffractgpt_mistral_chemical_formula") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from knc6/diffractgpt_mistral_chemical_formula: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/knc6/diffractgpt_mistral_chemical_formula/resolve/ef406b29023cba8263ccff15d5aee54e6d595daf/training_args.bin
- Command line
-
hf download hf://knc6/diffractgpt_mistral_chemical_formula@ef406b29023cba8263ccff15d5aee54e6d595daf/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/knc6/diffractgpt_mistral_chemical_formula/resolve/ef406b29023cba8263ccff15d5aee54e6d595daf/training_args.bin
5.05 kB
- Xet hash:
- 234a7c2f790829880771e1611402a0d29f8660f3336e348ec23c885a7956cfac
- Size of remote file:
- 5.05 kB
- SHA256:
- 059442977a9e10cc72927f066ffd4d769f1ff990653c833b36dfa575382b3a75
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