Instructions to use anyspeech/PhoneBERT-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anyspeech/PhoneBERT-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="anyspeech/PhoneBERT-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("anyspeech/PhoneBERT-base") model = AutoModelForMaskedLM.from_pretrained("anyspeech/PhoneBERT-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from anyspeech/PhoneBERT-base: direct link, hf CLI and curl.
- Browser
- Download file 78.7 MB
-
https://huggingface.co/anyspeech/PhoneBERT-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://anyspeech/PhoneBERT-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/anyspeech/PhoneBERT-base/resolve/main/pytorch_model.bin
78.7 MB
- Xet hash:
- b8e694c246c5b90acda6f6e86b932a226acc41b020d9ba6095c67716edcf323d
- Size of remote file:
- 78.7 MB
- SHA256:
- f263d199f56ab2905dc4537cd0aea1bff9c6c0c1d930f035a158f7490ae3a1b2
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