Instructions to use anyspeech/PhoneBERT-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anyspeech/PhoneBERT-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="anyspeech/PhoneBERT-tiny")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("anyspeech/PhoneBERT-tiny") model = AutoModelForMaskedLM.from_pretrained("anyspeech/PhoneBERT-tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from anyspeech/PhoneBERT-tiny: direct link, hf CLI and curl.
- Browser
- Download file 30.5 MB
-
https://huggingface.co/anyspeech/PhoneBERT-tiny/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://anyspeech/PhoneBERT-tiny/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/anyspeech/PhoneBERT-tiny/resolve/main/pytorch_model.bin
30.5 MB
- Xet hash:
- 4e5e93a530ac31d9131bcec6ff51b490a45116fea015654ebab54337befddc98
- Size of remote file:
- 30.5 MB
- SHA256:
- a6db6818a3186e6d4c57b55ae2f55a6931a95306632b941bd415a004a1f24757
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