Text Classification
Transformers
PyTorch
TensorBoard
bert
classification
Generated from Trainer
text-embeddings-inference
Instructions to use cedomin/Task1a_class with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cedomin/Task1a_class with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cedomin/Task1a_class")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cedomin/Task1a_class") model = AutoModelForSequenceClassification.from_pretrained("cedomin/Task1a_class") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:331b769e5d6fb5502d1047364fe5a77974955865aeed7647ed1a7cd459a5a36a
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size 437962832
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