Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Jnanesh12/MyTextCheck with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jnanesh12/MyTextCheck with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jnanesh12/MyTextCheck")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jnanesh12/MyTextCheck") model = AutoModelForSequenceClassification.from_pretrained("Jnanesh12/MyTextCheck", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 75e47c76fd52ab170e9bc920471f7beff1518c4f20eb9451064b3a2cdacab6ce
- Size of remote file:
- 268 MB
- SHA256:
- 60f4d80b370b46a8592671e26bbec9fdbe680e52f48f26e29f208482a8b1d4d5
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