Instructions to use nasa-impact/bert-e-base-mlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nasa-impact/bert-e-base-mlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nasa-impact/bert-e-base-mlm")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("nasa-impact/bert-e-base-mlm") model = AutoModelForMaskedLM.from_pretrained("nasa-impact/bert-e-base-mlm") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11a86c8b6a4d754a28364c9c0abd3b4edb2a253748841333ef05615942c8656d
- Size of remote file:
- 440 MB
- SHA256:
- 262b0c73d67824571cd3b1dfef2125747405872cd61d449e9a4a74c5a9f4a558
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