Instructions to use TransQuest/microtransquest-en_de-wiki with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TransQuest/microtransquest-en_de-wiki with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="TransQuest/microtransquest-en_de-wiki")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("TransQuest/microtransquest-en_de-wiki") model = AutoModelForTokenClassification.from_pretrained("TransQuest/microtransquest-en_de-wiki", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from TransQuest/microtransquest-en_de-wiki: direct link, hf CLI and curl.
- Browser
- Download file 4.47 GB
-
https://huggingface.co/TransQuest/microtransquest-en_de-wiki/resolve/main/optimizer.pt
- Command line
-
hf download hf://TransQuest/microtransquest-en_de-wiki/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/TransQuest/microtransquest-en_de-wiki/resolve/main/optimizer.pt
4.47 GB
- Xet hash:
- 15f1b7bab5c7e61c5c201c638d744ad6638b6d3339d26a1bbf595f26f7fde3fa
- Size of remote file:
- 4.47 GB
- SHA256:
- 487b8c808998ec9fa96f6ea54a7f4e5eed4fb90a87710496cec071ab0e853a69
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