Instructions to use chisunku/ML_assignments with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chisunku/ML_assignments with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("filipealmeida/Mistral-7B-Instruct-v0.1-sharded") model = PeftModel.from_pretrained(base_model, "chisunku/ML_assignments") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from chisunku/ML_assignments: direct link, hf CLI and curl.
- Browser
- Download file 340 MB
-
https://huggingface.co/chisunku/ML_assignments/resolve/main/adapter_model.bin
- Command line
-
hf download hf://chisunku/ML_assignments/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/chisunku/ML_assignments/resolve/main/adapter_model.bin
340 MB
- Xet hash:
- 663c1718e8177b9e0f0341f6f241009ba62034163b5505153b5cb23f5747dfb9
- Size of remote file:
- 340 MB
- SHA256:
- 04c75977001d6451c17a062a006a58d63225f719f4d7808d7a49315defa4827a
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