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 training_args.bin from knc6/ramangpt_dft_model: direct link, hf CLI and curl.
- Browser
- Download file 5.97 kB
-
https://huggingface.co/knc6/ramangpt_dft_model/resolve/main/training_args.bin
- Command line
-
hf download hf://knc6/ramangpt_dft_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/knc6/ramangpt_dft_model/resolve/main/training_args.bin
5.97 kB
- Xet hash:
- 695da51806cd51840b5781691abac93cd1f2f6910910304021f81f73122943a4
- Size of remote file:
- 5.97 kB
- SHA256:
- 9955adb7a7c313df772cbb1d0455881f9d44e788fb949067cc0ad1630223ab54
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