Instructions to use ZYW/en-de-es-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZYW/en-de-es-model with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="ZYW/en-de-es-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ZYW/en-de-es-model") model = AutoModelForQuestionAnswering.from_pretrained("ZYW/en-de-es-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ZYW/en-de-es-model: direct link, hf CLI and curl.
- Browser
- Download file 1.96 MB
-
https://huggingface.co/ZYW/en-de-es-model/resolve/main/tokenizer.json
- Command line
-
hf download hf://ZYW/en-de-es-model/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ZYW/en-de-es-model/resolve/main/tokenizer.json
1.96 MB
File too large to display, you can check the raw version instead.