Instructions to use anyspeech/PhoneBERT-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anyspeech/PhoneBERT-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="anyspeech/PhoneBERT-large")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("anyspeech/PhoneBERT-large") model = AutoModelForMaskedLM.from_pretrained("anyspeech/PhoneBERT-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from anyspeech/PhoneBERT-large: direct link, hf CLI and curl.
- Browser
- Download file 1.22 GB
-
https://huggingface.co/anyspeech/PhoneBERT-large/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://anyspeech/PhoneBERT-large/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/anyspeech/PhoneBERT-large/resolve/main/pytorch_model.bin
1.22 GB
- Xet hash:
- af38b037c6d245525a132d07c6854b93b55195315c0404c77a9058c090b08d4e
- Size of remote file:
- 1.22 GB
- SHA256:
- 2577f6743edfb4659244ca0d8f6ea4eb8ab872d9120f3b2359484a74a239c354
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