Instructions to use GeniusVoice/tinybertje-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GeniusVoice/tinybertje-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="GeniusVoice/tinybertje-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("GeniusVoice/tinybertje-v2") model = AutoModelForSequenceClassification.from_pretrained("GeniusVoice/tinybertje-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 93d5198ba4e9fa7d89430db3722698a290ebd8952484d79efda1efa0d96c370d
- Size of remote file:
- 35.2 MB
- SHA256:
- 0e2a0f3057e4a86a0f3b8993c9c54e4768e601fccc29fd2776419f7c56b080da
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