Instructions to use Maaly/host with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Maaly/host with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Maaly/host")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Maaly/host") model = AutoModelForTokenClassification.from_pretrained("Maaly/host", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 82e29bb9e82df0a18655648607edf3cb22e121ffc354f1253092a0e62e130291
- Size of remote file:
- 2.1 kB
- SHA256:
- 817b88526afe084814c4bf5a0f52203d8ce55c5421884527ce6d60b5080bf1a3
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