Instructions to use iisys-hof/OLaPhLLM_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iisys-hof/OLaPhLLM_v2 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="iisys-hof/OLaPhLLM_v2")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("iisys-hof/OLaPhLLM_v2") model = AutoModelForCausalLM.from_pretrained("iisys-hof/OLaPhLLM_v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a2aa5358cb722312f37cded0930819850d20bb78762cd86d7f5be6432076194
- Size of remote file:
- 5.23 GB
- SHA256:
- ffc73ef51d53b5cd15a8d0c5b2d660186e65ad303e1488fcf3caa8f79410305a
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