Instructions to use fedovtt/8672d7b5-1c60-4b39-a80a-646aa5853c2f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use fedovtt/8672d7b5-1c60-4b39-a80a-646aa5853c2f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceH4/zephyr-7b-beta") model = PeftModel.from_pretrained(base_model, "fedovtt/8672d7b5-1c60-4b39-a80a-646aa5853c2f") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d6f13ff43dbf8e91bf0c5eb8c4fbf7b03d0f61afd0957892c9611ffaf410c49b
- Size of remote file:
- 671 MB
- SHA256:
- a57044d00de5c7a27fd114fdef0a15d17341e582f3b54ebe33e166b144936632
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