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")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("timosarkar/oryn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.bin from timosarkar/oryn: direct link, hf CLI and curl.
- Browser
- Download file 20.7 MB
-
https://huggingface.co/timosarkar/oryn/resolve/main/model.bin
- Command line
-
hf download hf://timosarkar/oryn/model.bin
-
curl -L -o model.bin https://huggingface.co/timosarkar/oryn/resolve/main/model.bin
20.7 MB
- Xet hash:
- d7608ada36757ecda94cddd272af81f2ed275b49174c058d20d3add941d76dbe
- Size of remote file:
- 20.7 MB
- SHA256:
- bf8ef953e225603a7bdda33456734627c592a898e090d28b5d50204528a36e43
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