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:
- dc5d0f20b8ae412893160fe714ade2f5eba71c1006b8652d9ddd954431eb6e3c
- Size of remote file:
- 5.43 kB
- SHA256:
- 1f1766902c3a1ac379533feb739e1d3020282206787c9ac51618fbb930d74549
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