Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use masterkristall/bert_distillation_tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use masterkristall/bert_distillation_tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="masterkristall/bert_distillation_tiny")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("masterkristall/bert_distillation_tiny") model = AutoModelForSequenceClassification.from_pretrained("masterkristall/bert_distillation_tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab39b912b55c81a5f6733e102cd748625fe514ac8ec985b4b441dc0063a7b7bf
- Size of remote file:
- 4.6 kB
- SHA256:
- 5cffab551c9cc79142b62e8accff63686119d5a60b958495325636ac34d265c1
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