Instructions to use havinash-ai/1d03f9f6-f0f7-47f9-838c-19425f96a2a9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use havinash-ai/1d03f9f6-f0f7-47f9-838c-19425f96a2a9 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM-135M-Instruct") model = PeftModel.from_pretrained(base_model, "havinash-ai/1d03f9f6-f0f7-47f9-838c-19425f96a2a9") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/training_args.bin from havinash-ai/1d03f9f6-f0f7-47f9-838c-19425f96a2a9: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/havinash-ai/1d03f9f6-f0f7-47f9-838c-19425f96a2a9/resolve/main/last-checkpoint/training_args.bin
- Command line
-
hf download hf://havinash-ai/1d03f9f6-f0f7-47f9-838c-19425f96a2a9/last-checkpoint/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/havinash-ai/1d03f9f6-f0f7-47f9-838c-19425f96a2a9/resolve/main/last-checkpoint/training_args.bin
6.78 kB
- Xet hash:
- dc8150d99f00a7556c73376c26b9b0605b8fc7f7bf1e51b25d35d7b25347a462
- Size of remote file:
- 6.78 kB
- SHA256:
- 03c52e3ff10b4996df5da41e7533cd9f30ee78f5adcae53412649666f0912ace
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