Instructions to use TransQuest/monotransquest-da-si_en-wiki with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TransQuest/monotransquest-da-si_en-wiki with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TransQuest/monotransquest-da-si_en-wiki")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TransQuest/monotransquest-da-si_en-wiki") model = AutoModelForSequenceClassification.from_pretrained("TransQuest/monotransquest-da-si_en-wiki", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from TransQuest/monotransquest-da-si_en-wiki: direct link, hf CLI and curl.
- Browser
- Download file 2.24 GB
-
https://huggingface.co/TransQuest/monotransquest-da-si_en-wiki/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://TransQuest/monotransquest-da-si_en-wiki/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/TransQuest/monotransquest-da-si_en-wiki/resolve/main/pytorch_model.bin
2.24 GB
- Xet hash:
- 9cf693f0b6aaebac910934c08eda13cfb9407e2d4b49f29365aa9a135818282c
- Size of remote file:
- 2.24 GB
- SHA256:
- a40aaf3616b58ca52eba65e47306a5d829f81bd9d8e2a629a4dcf5d06fed40a7
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