Instructions to use Tijmen2/cosmosage_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tijmen2/cosmosage_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Tijmen2/cosmosage_v1")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Tijmen2/cosmosage_v1") model = AutoModelForCausalLM.from_pretrained("Tijmen2/cosmosage_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:58bd4885907fe013a655af44903fcf5371e83eb888732de00c7b0bc8b4f2a2bb
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size 14483498224
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