Translation
Transformers
Safetensors
English
mistral3
image-text-to-text
code
code-translation
sas
r
python
lora
axolotl
Instructions to use ProCogia/Euclid-2.6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ProCogia/Euclid-2.6 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="ProCogia/Euclid-2.6")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("ProCogia/Euclid-2.6") model = AutoModelForMultimodalLM.from_pretrained("ProCogia/Euclid-2.6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 00429506ba7c34f2df37c3f40510eaeb8568d87c776bf4b04bade1977e6f90b4
- Size of remote file:
- 17.1 MB
- SHA256:
- 99cf274236c60277fcfad861a5a1007518687ad06ba8938760f50b55ffa0b1ef
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.