Instructions to use apidae/apidae-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apidae/apidae-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="apidae/apidae-bert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("apidae/apidae-bert") model = AutoModelForSequenceClassification.from_pretrained("apidae/apidae-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from apidae/apidae-bert: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/apidae/apidae-bert/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://apidae/apidae-bert/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/apidae/apidae-bert/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 0a52ef30340c84176d556f7601738573f448e7ceb8438db5d396cfefd4870de5
- Size of remote file:
- 438 MB
- SHA256:
- bc85f1b5dd9d92050e9f3d8ed0c114cad5758096768304762d663256c117563d
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