Instructions to use Valencio/LLM_course_MLM_model_QA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Valencio/LLM_course_MLM_model_QA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Valencio/LLM_course_MLM_model_QA")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Valencio/LLM_course_MLM_model_QA") model = AutoModelForQuestionAnswering.from_pretrained("Valencio/LLM_course_MLM_model_QA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fbaa65e5418b9a3a3eaf1814392984601283b41c4678faa61847eb68d020e85d
- Size of remote file:
- 5.2 kB
- SHA256:
- 720790a5ff3bc4de10e9121c454522c08fb4ac350467d65eabe3a0f8ebc0809a
路
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