Instructions to use phucleDio/bamibert-content-classifier-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phucleDio/bamibert-content-classifier-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="phucleDio/bamibert-content-classifier-v2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("phucleDio/bamibert-content-classifier-v2") model = AutoModelForSequenceClassification.from_pretrained("phucleDio/bamibert-content-classifier-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from phucleDio/bamibert-content-classifier-v2: direct link, hf CLI and curl.
- Browser
- Download file 5.27 kB
-
https://huggingface.co/phucleDio/bamibert-content-classifier-v2/resolve/main/training_args.bin
- Command line
-
hf download hf://phucleDio/bamibert-content-classifier-v2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/phucleDio/bamibert-content-classifier-v2/resolve/main/training_args.bin
5.27 kB
- Xet hash:
- 133da41c1b490b532af6f5d00ec28eb53bd902302228f2e038ff7fa22ce9c6b6
- Size of remote file:
- 5.27 kB
- SHA256:
- da7e157ba6f6a2c16b9945d6aa70d209c74bf2ffd19cda29fdc08cd1e21cce26
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