Instructions to use maneln/tinyllama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maneln/tinyllama with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="maneln/tinyllama")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("maneln/tinyllama") model = AutoModelForQuestionAnswering.from_pretrained("maneln/tinyllama", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 402f3157f40bcfd589a08cb192d0be9dc709a026569643ad3dbc7a63e5fbb07f
- Size of remote file:
- 4.14 GB
- SHA256:
- 1a05be9ee9d4da3397342472a7171e421d33b1590369f651966adb2dcf1686c2
路
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