Instructions to use SIRIS-Lab/actytode with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SIRIS-Lab/actytode with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SIRIS-Lab/actytode")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SIRIS-Lab/actytode") model = AutoModelForSequenceClassification.from_pretrained("SIRIS-Lab/actytode", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from SIRIS-Lab/actytode: direct link, hf CLI and curl.
- Browser
- Download file 670 MB
-
https://huggingface.co/SIRIS-Lab/actytode/resolve/dea6cfba41b8b05618e4d8f0b83694036715e2b4/pytorch_model.bin
- Command line
-
hf download hf://SIRIS-Lab/actytode@dea6cfba41b8b05618e4d8f0b83694036715e2b4/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/SIRIS-Lab/actytode/resolve/dea6cfba41b8b05618e4d8f0b83694036715e2b4/pytorch_model.bin
670 MB
- Xet hash:
- af9152d4d6adf89877949bce04898902f37ccb6a61928aba5795fc92e6f0936d
- Size of remote file:
- 670 MB
- SHA256:
- fb4552e17397f2fc1026cb9a412a1b6366046a869c8c9f7d29d533318dd48764
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