Instructions to use KM4STfulltext/CSSCI_ABS_roberta_wwm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KM4STfulltext/CSSCI_ABS_roberta_wwm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="KM4STfulltext/CSSCI_ABS_roberta_wwm")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("KM4STfulltext/CSSCI_ABS_roberta_wwm") model = AutoModelForMaskedLM.from_pretrained("KM4STfulltext/CSSCI_ABS_roberta_wwm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): ccfd08c
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train_results.txt
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epoch = 3.0
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train_runtime = 193014.8385
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train_samples_per_second = 1.412
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