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")# pip install -U transformers accelerate # 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
Download checkpoint-2000/optimizer.pt from Maaly/host: direct link, hf CLI and curl.
- Browser
- Download file 862 MB
-
https://huggingface.co/Maaly/host/resolve/refs%2Fpr%2F1/checkpoint-2000/optimizer.pt
- Command line
-
hf download hf://Maaly/host@refs/pr/1/checkpoint-2000/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Maaly/host/resolve/refs%2Fpr%2F1/checkpoint-2000/optimizer.pt
862 MB
- Xet hash:
- 60acc2bda506f59a882eca6293f6cb6569d3f39696a999287d835e58da75b247
- Size of remote file:
- 862 MB
- SHA256:
- cd57999c08b5605b60209123e4c992ca72747d336b38635e1b4c4cfede7a081b
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