Instructions to use ayshi/albert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ayshi/albert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ayshi/albert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ayshi/albert") model = AutoModelForSequenceClassification.from_pretrained("ayshi/albert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 861eba1dd2a5e0527160722e1deb9d8cf3a3d9a0b945f95b1745849eefda7a41
- Size of remote file:
- 46.8 MB
- SHA256:
- ab55587f20d0d3f6ad807ce30f50317b751c4a2bf27f6a5835d792b8ba3cccd7
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