Token Classification
Transformers
Safetensors
English
bert
prompt-compression
tiny-model
synthetic-data
Instructions to use aayushbist/saccade-tiny-100k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aayushbist/saccade-tiny-100k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="aayushbist/saccade-tiny-100k")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("aayushbist/saccade-tiny-100k") model = AutoModelForTokenClassification.from_pretrained("aayushbist/saccade-tiny-100k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add model card and held-out metrics
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Model save
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Training in progress, epoch 2
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Training in progress, epoch 1
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initial commit
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