Instructions to use DipanAI/TesAKantaiBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DipanAI/TesAKantaiBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="DipanAI/TesAKantaiBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("DipanAI/TesAKantaiBERT") model = AutoModelForMaskedLM.from_pretrained("DipanAI/TesAKantaiBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d5c8acf3f6a62dca701f8852908cee1ad300abc9f5e6b4d80a761bec41945a3e
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size 334034464
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