Text Classification
Transformers
Safetensors
modernbert
classification
Generated from Trainer
text-embeddings-inference
Instructions to use carmengoar/tfm-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use carmengoar/tfm-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="carmengoar/tfm-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("carmengoar/tfm-bert") model = AutoModelForSequenceClassification.from_pretrained("carmengoar/tfm-bert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c5dbe45c557e386e878f572b4a1e89a53735ed79dec7840ab61dbd570eba888
- Size of remote file:
- 5.27 kB
- SHA256:
- 7b4aa273080ad5c07170b706b4adfed15a2df48fdb7eccfb603abe565323eda0
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