Instructions to use jbochi/madlad400-10b-mt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jbochi/madlad400-10b-mt with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" 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("translation", model="jbochi/madlad400-10b-mt")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jbochi/madlad400-10b-mt") model = AutoModelForSeq2SeqLM.from_pretrained("jbochi/madlad400-10b-mt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Run the example model but failed
#2
by lanmei0914 - opened
Hi, I want to run your example usage but failed.
OSError: jbochi/madlad400-10b-mt does not appear to have a file named pytorch_model.bin, tf_model.h5, model.ckpt or flax_model.msgpack.
Can I know why it happens?