Instructions to use Mozilla/tinybert-uncased-autofill with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mozilla/tinybert-uncased-autofill with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mozilla/tinybert-uncased-autofill")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mozilla/tinybert-uncased-autofill") model = AutoModelForSequenceClassification.from_pretrained("Mozilla/tinybert-uncased-autofill", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
update model
Unverified signature3304848
-
update model
Unverified signature922aad2
-
Update README.md
Verified signaturedc8fa51 -
hyperparam optimization
Unverified signature5add30f
-
update labels for model
Unverified signaturea8cdc0f
-
Update README.md
Verified signature10e3808 -
Update README.md
Verified signature3f26b3c -
update onnx models
Unverified signature032e5d5
-
remove file
Unverified signature55c7e10 -
Update README.md
Verified signature2b5df29 -
Update README.md
Verified signature4496635
-
Update README.md
Verified signature99c3caf -
Update README.md
Verified signature7f3bad4 -
Update README.md
Verified signature4143a3b -
Update README.md
Verified signature9b5c1d7 -
fine-tuned models
Unverified signature3ac116e -
Create README.md
Verified signature6e89d21 -
added onnx models
Unverified signaturea91c958 -
initial commit
Verified signature9260cf3