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")# 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
File size: 129 Bytes
cafb5a7 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:bbd68166292a8825551a64cc87c7a80130c3cf94f51ecbeb1c366bb0be3e6ce6
size 5265
|