Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use 53gf4u1t/XPostsClassificationModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 53gf4u1t/XPostsClassificationModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="53gf4u1t/XPostsClassificationModel")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("53gf4u1t/XPostsClassificationModel") model = AutoModelForSequenceClassification.from_pretrained("53gf4u1t/XPostsClassificationModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a4f7d173d746d806975eb493955df1033e3c0a9c4b7a20f07bf783f31d7631bb
- Size of remote file:
- 1.42 GB
- SHA256:
- 3eddca0e8d3d597a3b65fa4de37d3a4509d710c1cfcc5db752a73fd672e7ad82
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