Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use jackmedda/answerdotai-ModernBERT-base_finetuned_augmented_augmented_nemotron-mini_4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jackmedda/answerdotai-ModernBERT-base_finetuned_augmented_augmented_nemotron-mini_4b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jackmedda/answerdotai-ModernBERT-base_finetuned_augmented_augmented_nemotron-mini_4b")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jackmedda/answerdotai-ModernBERT-base_finetuned_augmented_augmented_nemotron-mini_4b") model = AutoModelForSequenceClassification.from_pretrained("jackmedda/answerdotai-ModernBERT-base_finetuned_augmented_augmented_nemotron-mini_4b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ef84d1aac2a8dd83411d2511a19f1e51f36a5b8f80bf9f2907ba4c14a3b17de8
- Size of remote file:
- 5.56 kB
- SHA256:
- 2bcdbc837cdb6394611b4c705460172b16436816bdf65fc18f961fb486709c2c
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