Instructions to use Extrabass/checkpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Extrabass/checkpoint with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Extrabass/checkpoint")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Extrabass/checkpoint") model = AutoModelForSequenceClassification.from_pretrained("Extrabass/checkpoint", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b449434858b180dde4c6764535ce7756ef8b81e591aaa252bcab86f0086edbd
- Size of remote file:
- 4.66 kB
- SHA256:
- ea7e090d5e7a8991707b4b7f8572c893eb8a45134fbe7adf8a958a9b6a95d1b2
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