Instructions to use roscazo/DISO_bsc_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use roscazo/DISO_bsc_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="roscazo/DISO_bsc_test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("roscazo/DISO_bsc_test") model = AutoModelForTokenClassification.from_pretrained("roscazo/DISO_bsc_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from roscazo/DISO_bsc_test: direct link, hf CLI and curl.
- Browser
- Download file 3.39 kB
-
https://huggingface.co/roscazo/DISO_bsc_test/resolve/main/training_args.bin
- Command line
-
hf download hf://roscazo/DISO_bsc_test/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/roscazo/DISO_bsc_test/resolve/main/training_args.bin
3.39 kB
- Xet hash:
- 5bff4a57cdb2fdfc709fb83638751b3984ccaa4f4dd1fef2ad301ce05e7c30de
- Size of remote file:
- 3.39 kB
- SHA256:
- 354e49322aa341635047198b374736e7d415eee1aebaee22afdec99d94270bca
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