Instructions to use bobo/bobo_classification_function with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bobo/bobo_classification_function with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bobo/bobo_classification_function")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bobo/bobo_classification_function") model = AutoModelForSequenceClassification.from_pretrained("bobo/bobo_classification_function", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from bobo/bobo_classification_function: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/bobo/bobo_classification_function/resolve/main/tf_model.h5
- Command line
-
hf download hf://bobo/bobo_classification_function/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/bobo/bobo_classification_function/resolve/main/tf_model.h5
499 MB
- Xet hash:
- 21805aada064780b380d0c4ec29b4183ba33c3fae1cc385dcb8de992c3a550e4
- Size of remote file:
- 499 MB
- SHA256:
- c1096488cde22a2bf559bd57170d0c84c0c2d30fd9aaf95786d6fc112b5d6300
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