Instructions to use Anjoe/gbert-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anjoe/gbert-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Anjoe/gbert-large")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Anjoe/gbert-large") model = AutoModelForMaskedLM.from_pretrained("Anjoe/gbert-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3aefa25188cd55000309db9ac3055791b6c2f547d9d4b96d12c6617299e98d0a
- Size of remote file:
- 1.34 GB
- SHA256:
- 74c1aac04c59183ce6f41ad670e6dd7eb21eb2224891531ce8a7c057421a8c3c
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