Instructions to use bbouffaut/bert_base_uncase_tflite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bbouffaut/bert_base_uncase_tflite with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="bbouffaut/bert_base_uncase_tflite")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("bbouffaut/bert_base_uncase_tflite") model = AutoModelForMaskedLM.from_pretrained("bbouffaut/bert_base_uncase_tflite", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.tflite from bbouffaut/bert_base_uncase_tflite: direct link, hf CLI and curl.
- Browser
- Download file 437 MB
-
https://huggingface.co/bbouffaut/bert_base_uncase_tflite/resolve/main/model.tflite
- Command line
-
hf download hf://bbouffaut/bert_base_uncase_tflite/model.tflite
-
curl -L -o model.tflite https://huggingface.co/bbouffaut/bert_base_uncase_tflite/resolve/main/model.tflite
437 MB
- Xet hash:
- 60af3b7b943abdb7b7eb66ee7b06dfec4a7121609fc40635b8fda745720cd87a
- Size of remote file:
- 437 MB
- SHA256:
- 685ec9c3acb4b89a1fc663d0cbd9ab234c2bac1358bdc2a7cad72bd1cf0ec5ae
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