Instructions to use ViktorDo/EcoBERT-Pretrained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ViktorDo/EcoBERT-Pretrained with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ViktorDo/EcoBERT-Pretrained")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ViktorDo/EcoBERT-Pretrained") model = AutoModelForMaskedLM.from_pretrained("ViktorDo/EcoBERT-Pretrained") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d0ec0fcaaa847af91658e44be4867b0e3aa51365e97b13434d149cbbe73e0462
- Size of remote file:
- 3.45 kB
- SHA256:
- ac7731b66968dc4841c37489d754f3915a474dddb87a1b0aa262c32a60f9b2bf
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