Instructions to use aayushbist/saccade-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aayushbist/saccade-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="aayushbist/saccade-tiny")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("aayushbist/saccade-tiny") model = AutoModelForTokenClassification.from_pretrained("aayushbist/saccade-tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b7d61df06a17bd4c56b0134cf6973f523daaad329fb49290d60f6acf51327339
- Size of remote file:
- 5.27 kB
- SHA256:
- 56a8794fbb5ba30a9dc49e40e79a905818457e325201c9f885c290e09a07992b
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