Instructions to use roscazo/DISO_SINAI_test1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use roscazo/DISO_SINAI_test1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="roscazo/DISO_SINAI_test1")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("roscazo/DISO_SINAI_test1") model = AutoModelForTokenClassification.from_pretrained("roscazo/DISO_SINAI_test1") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b69904d74c620641b0fe062322d3469a8eeadd44af2602bfb5d4b3d4eb54ef03
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size 496248308
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