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:
- 9fa684cad4cf29ab84a516c62063f5841031557a92d287bc093dff2d5ea950ca
- Size of remote file:
- 268 MB
- SHA256:
- e9e1b761484459d82a9fb0e2bd8e2bd2458a2bc4f6503aca2136fec9265775b6
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