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 training_args.bin from TransQuest/monotransquest-da-si_en-wiki: direct link, hf CLI and curl.
- Browser
- Download file 3.12 kB
-
https://huggingface.co/TransQuest/monotransquest-da-si_en-wiki/resolve/main/training_args.bin
- Command line
-
hf download hf://TransQuest/monotransquest-da-si_en-wiki/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/TransQuest/monotransquest-da-si_en-wiki/resolve/main/training_args.bin
3.12 kB
- Xet hash:
- eddcd62eb712885e458d440701ff5b4e9b4d6c2f22c6f24a20e7c2146b482fb6
- Size of remote file:
- 3.12 kB
- SHA256:
- e7e47585c62af16f5ed5ba065506af815ff5def62f572757c7f9a75a59924853
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