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")# 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
Upload folder using huggingface_hub
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:bc85f1b5dd9d92050e9f3d8ed0c114cad5758096768304762d663256c117563d
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size 438043950
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