Instructions to use KM4STfulltext/CSSCI_ABS_BERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KM4STfulltext/CSSCI_ABS_BERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="KM4STfulltext/CSSCI_ABS_BERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("KM4STfulltext/CSSCI_ABS_BERT") model = AutoModelForMaskedLM.from_pretrained("KM4STfulltext/CSSCI_ABS_BERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fc4f686a9d987a88a765dda5980cc32670d33be5a066eb7fa7877581bb29d67b
- Size of remote file:
- 409 MB
- SHA256:
- 21fa9c8e48200e0e4e4efb54720c6f37d74c7a32fe7117972616dca38b6d2ca9
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