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.json from fedovtt/caf434f9-51ad-4098-a2c9-e9c86145dba2: direct link, hf CLI and curl.
- Browser
- Download file 3.51 MB
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https://huggingface.co/fedovtt/caf434f9-51ad-4098-a2c9-e9c86145dba2/resolve/main/tokenizer.json
- Command line
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hf download hf://fedovtt/caf434f9-51ad-4098-a2c9-e9c86145dba2/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/fedovtt/caf434f9-51ad-4098-a2c9-e9c86145dba2/resolve/main/tokenizer.json
3.51 MB
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