Instructions to use skywalker290/Albert-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use skywalker290/Albert-Base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="skywalker290/Albert-Base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("skywalker290/Albert-Base") model = AutoModelForSequenceClassification.from_pretrained("skywalker290/Albert-Base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0707bc5d9b75caaeab42aa258641f3e6acb5159d6a3b7fd39f02905d19b9daff
- Size of remote file:
- 5.3 kB
- SHA256:
- 62f474385ed5fd8fe885098dbff23b58b733729b411ca4a496ce84db0ec96ab4
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