Instructions to use fffffly/albert_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fffffly/albert_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="fffffly/albert_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("fffffly/albert_model") model = AutoModelForSequenceClassification.from_pretrained("fffffly/albert_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 595a414aa5d92458f751bf939ed7dea455c6577f2af1f7ad49ffe8c43d4f21b0
- Size of remote file:
- 3.9 kB
- SHA256:
- 3a9bffed1d40d3eae02a43393131c0c2b2c1185975625b014b579cb2c9be7e59
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