Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use AmirMohseni/router-mmBERT-base-1e-5-batch64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AmirMohseni/router-mmBERT-base-1e-5-batch64 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AmirMohseni/router-mmBERT-base-1e-5-batch64")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AmirMohseni/router-mmBERT-base-1e-5-batch64") model = AutoModelForSequenceClassification.from_pretrained("AmirMohseni/router-mmBERT-base-1e-5-batch64") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c331d1186b7fc112b4a8bf0487d9f32eac3afd40bd78259f758068d22ad83389
- Size of remote file:
- 5.91 kB
- SHA256:
- e7a1749e54f4db21b215f90ef12dad2abe1ea63432b0696fd79dae090d08ba78
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