Instructions to use TransQuest/monotransquest-hter-en_zh-wiki with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TransQuest/monotransquest-hter-en_zh-wiki with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TransQuest/monotransquest-hter-en_zh-wiki")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TransQuest/monotransquest-hter-en_zh-wiki") model = AutoModelForSequenceClassification.from_pretrained("TransQuest/monotransquest-hter-en_zh-wiki") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 727c97d08ad93d092215766e66b836ba1a6cc5d62e9150a34624b3e4794afb51
- Size of remote file:
- 2.24 GB
- SHA256:
- 53b807fe1889764bae991263dc2e3866b4892b3725f0a8a252bb4c8b73531fa6
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