Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use ksmcg/name with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ksmcg/name with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ksmcg/name")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ksmcg/name") model = AutoModelForSequenceClassification.from_pretrained("ksmcg/name") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Update Hugging Face dataset ID
#3
by librarian-bot - opened
README.md
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tags:
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- generated_from_trainer
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datasets:
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- glue
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model_index:
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- name: name
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results:
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tags:
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- generated_from_trainer
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datasets:
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- nyu-mll/glue
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model_index:
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- name: name
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results:
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