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
Commit ·
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Parent(s): 492648f
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eval_results.json
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"epoch": 3.0,
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"eval_loss": 0.6053370237350464,
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"eval_runtime": 230.4858,
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"eval_samples": 14683,
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"eval_samples_per_second": 63.705,
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"eval_steps_per_second": 3.983,
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"perplexity": 1.8318694883580977
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}
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