Instructions to use ericRosello/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ericRosello/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ericRosello/results")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ericRosello/results") model = AutoModelForQuestionAnswering.from_pretrained("ericRosello/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32452ee31e3c623939f5117b376fd90df9922a3def0fdf07255ebed3b75be571
- Size of remote file:
- 2.93 kB
- SHA256:
- 3a5e3054db2a7e2e51ce4f631f7c0290771634049c78704c33712216997b7f45
路
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