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") - Notebooks
- Google Colab
- Kaggle
Add TF weights
#1
by joaogante - opened
- tf_model.h5 +3 -0
tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:4f56a0032d406038cf3068ae71fb8d5e019e6d9cd2f684452c82441333f24302
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size 1473112424
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