Instructions to use KirubaLS/Outreach_model_6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use KirubaLS/Outreach_model_6 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "KirubaLS/Outreach_model_6") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from KirubaLS/Outreach_model_6: direct link, hf CLI and curl.
- Browser
- Download file 34.4 MB
-
https://huggingface.co/KirubaLS/Outreach_model_6/resolve/main/tokenizer.json
- Command line
-
hf download hf://KirubaLS/Outreach_model_6/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/KirubaLS/Outreach_model_6/resolve/main/tokenizer.json
34.4 MB
- Xet hash:
- 05cc0e4ec099b0a4b6155f03f21a6482039a8350a17ccf5781a3f98b060a0db8
- Size of remote file:
- 34.4 MB
- SHA256:
- 2fd978f422114c21b4be27d28ec8d7f5d143f8240e06f82b08393bcdcf180e8a
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