Text Classification
Transformers
PyTorch
distilbert
classification
Generated from Trainer
text-embeddings-inference
Instructions to use cedomin/Task1a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cedomin/Task1a with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cedomin/Task1a")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cedomin/Task1a") model = AutoModelForSequenceClassification.from_pretrained("cedomin/Task1a") - 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 sha256:0b8aafba270498ca5384cc6c61c6b8c94ca2b21ffaca679ee91b0ed3b6bffa2b
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size 267832560
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