Instructions to use bikrammaharjan/mistral7binstruct_summarize with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bikrammaharjan/mistral7binstruct_summarize with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.2") model = PeftModel.from_pretrained(base_model, "bikrammaharjan/mistral7binstruct_summarize") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from bikrammaharjan/mistral7binstruct_summarize: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/bikrammaharjan/mistral7binstruct_summarize/resolve/main/training_args.bin
- Command line
-
hf download hf://bikrammaharjan/mistral7binstruct_summarize/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/bikrammaharjan/mistral7binstruct_summarize/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 2ec519bf9a294a188fe836358e847138a310b4bcb2cae91f20e8609a4a668e65
- Size of remote file:
- 4.92 kB
- SHA256:
- de6dba9b27166c339216480508a00f2b8a44115eb085b2132122a2f9e793b446
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