Instructions to use hatimbr/new_vantage_request_95d67612 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hatimbr/new_vantage_request_95d67612 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/raid/hatim/models/Qwen2.5-Coder-3B-Instruct") model = PeftModel.from_pretrained(base_model, "hatimbr/new_vantage_request_95d67612") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from hatimbr/new_vantage_request_95d67612: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/hatimbr/new_vantage_request_95d67612/resolve/main/tokenizer.json
- Command line
-
hf download hf://hatimbr/new_vantage_request_95d67612/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/hatimbr/new_vantage_request_95d67612/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 5bb2f7e55f40de622337431b2866f1ea5221462063498aea4943c8bd4c26dd25
- Size of remote file:
- 11.4 MB
- SHA256:
- ba0c439f7be467bf47d12a7e6f9adc6116201056fc60c67f431c679b7c16afc8
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