Instructions to use anyspeech/PhoneBERT-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anyspeech/PhoneBERT-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="anyspeech/PhoneBERT-small")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("anyspeech/PhoneBERT-small") model = AutoModelForMaskedLM.from_pretrained("anyspeech/PhoneBERT-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from anyspeech/PhoneBERT-small: direct link, hf CLI and curl.
- Browser
- Download file 346 MB
-
https://huggingface.co/anyspeech/PhoneBERT-small/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://anyspeech/PhoneBERT-small/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/anyspeech/PhoneBERT-small/resolve/main/pytorch_model.bin
346 MB
- Xet hash:
- 494c6932eb3d992bca9713a324316fd364b613af0ae1dca9f491025716535696
- Size of remote file:
- 346 MB
- SHA256:
- d7f81bc710ee45ebe77c868187e7c948a7b15cb44fb59f20919f169f833505d9
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