Instructions to use fedovtt/caf434f9-51ad-4098-a2c9-e9c86145dba2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use fedovtt/caf434f9-51ad-4098-a2c9-e9c86145dba2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Intel/neural-chat-7b-v3-3") model = PeftModel.from_pretrained(base_model, "fedovtt/caf434f9-51ad-4098-a2c9-e9c86145dba2") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.model from fedovtt/caf434f9-51ad-4098-a2c9-e9c86145dba2: direct link, hf CLI and curl.
- Browser
- Download file 493 kB
-
https://huggingface.co/fedovtt/caf434f9-51ad-4098-a2c9-e9c86145dba2/resolve/main/tokenizer.model
- Command line
-
hf download hf://fedovtt/caf434f9-51ad-4098-a2c9-e9c86145dba2/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/fedovtt/caf434f9-51ad-4098-a2c9-e9c86145dba2/resolve/main/tokenizer.model
493 kB
- Xet hash:
- 32726c94d96b1a5c442963faa3a900decf397fe67b5c530097a9f8b2506c63b6
- Size of remote file:
- 493 kB
- SHA256:
- dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
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