Instructions to use ManyaGupta/bloom_ts1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ManyaGupta/bloom_ts1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloomz-560m") model = PeftModel.from_pretrained(base_model, "ManyaGupta/bloom_ts1") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ManyaGupta/bloom_ts1: direct link, hf CLI and curl.
- Browser
- Download file 14.5 MB
-
https://huggingface.co/ManyaGupta/bloom_ts1/resolve/main/tokenizer.json
- Command line
-
hf download hf://ManyaGupta/bloom_ts1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ManyaGupta/bloom_ts1/resolve/main/tokenizer.json
14.5 MB
- Xet hash:
- 90be824007153b9ed47581ade4db0d316202e5f75f57315dd7c881391bee7fd6
- Size of remote file:
- 14.5 MB
- SHA256:
- c0327644b47b51d72ffc915e4cfe9e49992b91b54d0fac31eeb829a003b28780
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.