Text Classification
Transformers
ONNX
Safetensors
English
modernbert
natural-language-inference
nli
fact-verification
fact-checking
cross-encoder
rag
evidence
Eval Results (legacy)
text-embeddings-inference
Instructions to use jithinpothireddy21/ease-delta-reader-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jithinpothireddy21/ease-delta-reader-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jithinpothireddy21/ease-delta-reader-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jithinpothireddy21/ease-delta-reader-base") model = AutoModelForSequenceClassification.from_pretrained("jithinpothireddy21/ease-delta-reader-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download export_check.json from jithinpothireddy21/ease-delta-reader-base: direct link, hf CLI and curl.
- Browser
- Download file 709 Bytes
-
https://huggingface.co/jithinpothireddy21/ease-delta-reader-base/resolve/main/export_check.json
- Command line
-
hf download hf://jithinpothireddy21/ease-delta-reader-base/export_check.json
-
curl -L -o export_check.json https://huggingface.co/jithinpothireddy21/ease-delta-reader-base/resolve/main/export_check.json
709 Bytes
| { | |
| "argmax_disagreements": 0, | |
| "device": "mps", | |
| "max_abs_logit_difference": 1.430511474609375e-06, | |
| "pairs": 1200, | |
| "seconds": 6.302990674972534, | |
| "sets": { | |
| "mnli.dev": { | |
| "argmax_disagreements": 0, | |
| "max_abs_logit_difference": 1.430511474609375e-06, | |
| "pairs": 300 | |
| }, | |
| "snli.dev": { | |
| "argmax_disagreements": 0, | |
| "max_abs_logit_difference": 9.5367431640625e-07, | |
| "pairs": 300 | |
| }, | |
| "unrelated.dev": { | |
| "argmax_disagreements": 0, | |
| "max_abs_logit_difference": 1.430511474609375e-06, | |
| "pairs": 300 | |
| }, | |
| "vitaminc.dev": { | |
| "argmax_disagreements": 0, | |
| "max_abs_logit_difference": 9.5367431640625e-07, | |
| "pairs": 300 | |
| } | |
| } | |
| } |