Zero-Shot Classification
Transformers
Safetensors
English
modernbert
feature-extraction
assay
decision-model
calibrated
conformal-prediction
text-classification
cpu
Instructions to use Berk/assay-compiled-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Berk/assay-compiled-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="Berk/assay-compiled-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Berk/assay-compiled-base") model = AutoModel.from_pretrained("Berk/assay-compiled-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download conformal.json from Berk/assay-compiled-base: direct link, hf CLI and curl.
- Browser
- Download file 429 Bytes
-
https://huggingface.co/Berk/assay-compiled-base/resolve/main/conformal.json
- Command line
-
hf download hf://Berk/assay-compiled-base/conformal.json
-
curl -L -o conformal.json https://huggingface.co/Berk/assay-compiled-base/resolve/main/conformal.json
429 Bytes
| { | |
| "alpha": 0.1, | |
| "delta": 0.05, | |
| "types": { | |
| "bool": { | |
| "count": 1605, | |
| "set_threshold": 0.7340756237768779, | |
| "act_threshold": 0.93 | |
| }, | |
| "choice": { | |
| "count": 3000, | |
| "set_threshold": 0.9098176873250626, | |
| "act_threshold": null | |
| }, | |
| "score": { | |
| "count": 900, | |
| "set_threshold": 0.837055464556463, | |
| "act_threshold": null | |
| } | |
| }, | |
| "temperature": 1.4849057900627562 | |
| } |