Text Classification
Transformers
TensorBoard
Safetensors
English
modernbert
quality-estimation
classification
binary-classification
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use ymoslem/ModernBERT-base-AIME-1983-2023-instruct-qe-classifier-binary-10ep-lr5e-05 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ymoslem/ModernBERT-base-AIME-1983-2023-instruct-qe-classifier-binary-10ep-lr5e-05 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ymoslem/ModernBERT-base-AIME-1983-2023-instruct-qe-classifier-binary-10ep-lr5e-05")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ymoslem/ModernBERT-base-AIME-1983-2023-instruct-qe-classifier-binary-10ep-lr5e-05") model = AutoModelForSequenceClassification.from_pretrained("ymoslem/ModernBERT-base-AIME-1983-2023-instruct-qe-classifier-binary-10ep-lr5e-05", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ymoslem/ModernBERT-base-AIME-1983-2023-instruct-qe-classifier-binary-10ep-lr5e-05: direct link, hf CLI and curl.
- Browser
- Download file 6.1 kB
-
https://huggingface.co/ymoslem/ModernBERT-base-AIME-1983-2023-instruct-qe-classifier-binary-10ep-lr5e-05/resolve/main/training_args.bin
- Command line
-
hf download hf://ymoslem/ModernBERT-base-AIME-1983-2023-instruct-qe-classifier-binary-10ep-lr5e-05/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ymoslem/ModernBERT-base-AIME-1983-2023-instruct-qe-classifier-binary-10ep-lr5e-05/resolve/main/training_args.bin
6.1 kB
- Xet hash:
- 4d972b1246f84cb66b4bea4830ab02cd456d36eed727a8bf3595643303c390e9
- Size of remote file:
- 6.1 kB
- SHA256:
- c7ab0e4de65ca732b3a4220685e2bfef64431a370356831739997ffba284ce87
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