Text Classification
Transformers
English
bert
bert-mini
classification
decision-model
dynamic-classification
calibrated-classification
option-scoring
oryn
Instructions to use timosarkar/oryn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use timosarkar/oryn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="timosarkar/oryn")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("timosarkar/oryn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from timosarkar/oryn: direct link, hf CLI and curl.
- Browser
- Download file 55 Bytes
-
https://huggingface.co/timosarkar/oryn/resolve/main/config.json
- Command line
-
hf download hf://timosarkar/oryn/config.json
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curl -L -o config.json https://huggingface.co/timosarkar/oryn/resolve/main/config.json
55 Bytes
| { | |
| "backbone": "boltuix/bert-mini", | |
| "max_len": 256 | |
| } |