Instructions to use ben-epstein/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ben-epstein/output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ben-epstein/output")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ben-epstein/output") model = AutoModelForTokenClassification.from_pretrained("ben-epstein/output") - 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 sha256:7d5c2fc6c6685eb617d5ae9fae42919614e7850d0a2158faabefc245bbab803c
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size 260797516
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