Instructions to use Alireza1044/MobileBERT_Theseus-sts-b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alireza1044/MobileBERT_Theseus-sts-b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Alireza1044/MobileBERT_Theseus-sts-b")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Alireza1044/MobileBERT_Theseus-sts-b") model = AutoModelForSequenceClassification.from_pretrained("Alireza1044/MobileBERT_Theseus-sts-b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Alireza1044/MobileBERT_Theseus-sts-b: direct link, hf CLI and curl.
- Browser
- Download file 119 MB
-
https://huggingface.co/Alireza1044/MobileBERT_Theseus-sts-b/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Alireza1044/MobileBERT_Theseus-sts-b/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Alireza1044/MobileBERT_Theseus-sts-b/resolve/main/pytorch_model.bin
119 MB
- Xet hash:
- 996155ace684a57fa669e4b0e27b637bd11a5412089dc16f924c707ad9d98c41
- Size of remote file:
- 119 MB
- SHA256:
- bb9b99478ebf020858548d64d7a9659cd0837ff0597a67fcbc3ea8da8b201a16
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