Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use OliverHeine/distilbert-base-uncased_fold_6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliverHeine/distilbert-base-uncased_fold_6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OliverHeine/distilbert-base-uncased_fold_6")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OliverHeine/distilbert-base-uncased_fold_6") model = AutoModelForSequenceClassification.from_pretrained("OliverHeine/distilbert-base-uncased_fold_6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ecd6913a3ee7f789da1e99dd09ee029ce71546240b237c85dc61232a300c059
- Size of remote file:
- 5.33 kB
- SHA256:
- b8b9bccde8c1db158efbb813ac07297df88373e244e49eec48a8f1fb6c5a6c43
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