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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4298d34088c3bfa1c921eb862235959b5b68f6e8fffc5d8ee8c18d3fd903705a
- Size of remote file:
- 4.92 kB
- SHA256:
- 8415ea461d300a8f51c0f547a37bb7a75940de6e85a040f6891563feefb5a94f
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