Instructions to use lucieackley/fitness_message_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lucieackley/fitness_message_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lucieackley/fitness_message_classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lucieackley/fitness_message_classification") model = AutoModelForSequenceClassification.from_pretrained("lucieackley/fitness_message_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from lucieackley/fitness_message_classification: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
-
https://huggingface.co/lucieackley/fitness_message_classification/resolve/main/tokenizer.json
- Command line
-
hf download hf://lucieackley/fitness_message_classification/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/lucieackley/fitness_message_classification/resolve/main/tokenizer.json
2.11 MB
- Xet hash:
- e7f6396982c2e7b250840c34b041a9eba915fc3651de35ce28b7c025f0d710d1
- Size of remote file:
- 2.11 MB
- SHA256:
- cd0c1e17efb54026c840ed0082c6ea4a4e6d4d926428f87bc3d06261a48492e7
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