Text Generation
PEFT
Safetensors
materials
raman
spectroscopy
inverse-design
crystal-structure
lora
jarvis
Instructions to use knc6/ramangpt_dft_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use knc6/ramangpt_dft_model 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/ramangpt_dft_model") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from knc6/ramangpt_dft_model: direct link, hf CLI and curl.
- Browser
- Download file 85.7 MB
-
https://huggingface.co/knc6/ramangpt_dft_model/resolve/main/optimizer.pt
- Command line
-
hf download hf://knc6/ramangpt_dft_model/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/knc6/ramangpt_dft_model/resolve/main/optimizer.pt
85.7 MB
- Xet hash:
- b7409f5cb60732e6617f017351ff0e5b7c53b24e35998b6fea7c27c56d4bfdd5
- Size of remote file:
- 85.7 MB
- SHA256:
- 3d42d1a9f716228c8a1d99eba5c75fcace47a436f8221058d6d78ffe1a1f37ee
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