Instructions to use izhx/udever-bloom-1b1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use izhx/udever-bloom-1b1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="izhx/udever-bloom-1b1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("izhx/udever-bloom-1b1") model = AutoModel.from_pretrained("izhx/udever-bloom-1b1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from izhx/udever-bloom-1b1: direct link, hf CLI and curl.
- Browser
- Download file 4.26 GB
-
https://huggingface.co/izhx/udever-bloom-1b1/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://izhx/udever-bloom-1b1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/izhx/udever-bloom-1b1/resolve/main/pytorch_model.bin
4.26 GB
- Xet hash:
- 155f34a6068c108dc84c9aab1637cc35ec2d0a56a8f04341c2f1eb87550f4201
- Size of remote file:
- 4.26 GB
- SHA256:
- 012f399f0495b1588ba6fe1d96af8507a486dc95421ca51b78f1747d8136fa4c
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