Instructions to use TransQuest/microtransquest-en_cs-it-smt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TransQuest/microtransquest-en_cs-it-smt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="TransQuest/microtransquest-en_cs-it-smt")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("TransQuest/microtransquest-en_cs-it-smt") model = AutoModelForTokenClassification.from_pretrained("TransQuest/microtransquest-en_cs-it-smt") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 077f16d94e2d7e9f7e0b62238c91372a02b4614e535a5b8e10db8c1d796cc50b
- Size of remote file:
- 3.12 kB
- SHA256:
- 282279ab887feb0d6782b6c7552e53f84b01b5c9c1d5e17cd06091ed453ae659
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