Instructions to use Granther/intern_orca_ft2_out with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Granther/intern_orca_ft2_out with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("internlm/internlm2-1_8b") model = PeftModel.from_pretrained(base_model, "Granther/intern_orca_ft2_out") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.model from Granther/intern_orca_ft2_out: direct link, hf CLI and curl.
- Browser
- Download file 1.48 MB
-
https://huggingface.co/Granther/intern_orca_ft2_out/resolve/main/tokenizer.model
- Command line
-
hf download hf://Granther/intern_orca_ft2_out/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/Granther/intern_orca_ft2_out/resolve/main/tokenizer.model
1.48 MB
- Xet hash:
- eb88de5faa9e82368b3bee26636575e1c4b57b4e27ceaf70e456ac377aacd8e3
- Size of remote file:
- 1.48 MB
- SHA256:
- f868398fc4e05ee1e8aeba95ddf18ddcc45b8bce55d5093bead5bbf80429b48b
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