Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use masterkristall/bert_distillation_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use masterkristall/bert_distillation_0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="masterkristall/bert_distillation_0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("masterkristall/bert_distillation_0") model = AutoModelForSequenceClassification.from_pretrained("masterkristall/bert_distillation_0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fcce613e949c8e33c31b7158eb8ecef6c03f0fed3d68657d5fd9b21238902e3d
- Size of remote file:
- 4.66 kB
- SHA256:
- 1cee466b789d4b47fc9c8da72358eec0ef3cb3e409e08ca851d4917631186d49
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