Instructions to use AlexanderHolmes0/FirstTry with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlexanderHolmes0/FirstTry with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="AlexanderHolmes0/FirstTry")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("AlexanderHolmes0/FirstTry") model = AutoModelForQuestionAnswering.from_pretrained("AlexanderHolmes0/FirstTry", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e38dd7f56c686bcffdea6ad49c021c84b5790348c3bd0ac48dde22e861f988da
- Size of remote file:
- 4.66 kB
- SHA256:
- 1b8929f38f9f438588d55d9461aa830d766051daa690225efb18ad424dda57c5
路
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