Instructions to use morpheus73/llama3_hindi_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use morpheus73/llama3_hindi_lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b-bnb-4bit") model = PeftModel.from_pretrained(base_model, "morpheus73/llama3_hindi_lora") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from morpheus73/llama3_hindi_lora: direct link, hf CLI and curl.
- Browser
- Download file 11.8 MB
-
https://huggingface.co/morpheus73/llama3_hindi_lora/resolve/main/tokenizer.json
- Command line
-
hf download hf://morpheus73/llama3_hindi_lora/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/morpheus73/llama3_hindi_lora/resolve/main/tokenizer.json
11.8 MB
- Xet hash:
- bab1aedf85f8f0e6d79445732f131acb28b14e708dc67c9a0b1ba62b4ec5232f
- Size of remote file:
- 11.8 MB
- SHA256:
- 3ebece82fd8a7ae82aa80fef6a4c78d8e5e061c6ce19b119a3d883b5d17aa765
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