Instructions to use moshew/Mini-bert-distilled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use moshew/Mini-bert-distilled with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="moshew/Mini-bert-distilled")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("moshew/Mini-bert-distilled") model = AutoModelForSequenceClassification.from_pretrained("moshew/Mini-bert-distilled", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d0d94941abf9efa2061961a43a8430389f12723ef605d18eeba98b2c54cf6e16
- Size of remote file:
- 3.12 kB
- SHA256:
- c1d0288fd1eb68f610e594b2430704617895c8b01349ff0b952adb955180d349
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