Instructions to use SeeeRGo/tg-messages-classificator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SeeeRGo/tg-messages-classificator with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SeeeRGo/tg-messages-classificator")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SeeeRGo/tg-messages-classificator") model = AutoModelForSequenceClassification.from_pretrained("SeeeRGo/tg-messages-classificator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from SeeeRGo/tg-messages-classificator: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/SeeeRGo/tg-messages-classificator/resolve/main/tokenizer.json
- Command line
-
hf download hf://SeeeRGo/tg-messages-classificator/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/SeeeRGo/tg-messages-classificator/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- be42ccf98ca5396fe1d8f9d3ba7ef5b34f131800e4ed70e3aa7d27048fc47c01
- Size of remote file:
- 17.1 MB
- SHA256:
- f7bc482bbe4d17395039e8c52dfd60092475c46bdcd8cd16c7238b2c522cd2c8
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