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:
- eb09083888793f2417d4898e9c0ed8ad0ae1b989808e868000bd7cafd2ba64f7
- Size of remote file:
- 862 MB
- SHA256:
- cb0740e6611e81c623e7e857c9f16d0b224cf99bd5b850b6e678c047ef3246ea
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