Instructions to use trtd56/practical_nlp_course_5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use trtd56/practical_nlp_course_5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="trtd56/practical_nlp_course_5")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("trtd56/practical_nlp_course_5") model = AutoModelForQuestionAnswering.from_pretrained("trtd56/practical_nlp_course_5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
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:ea81f31dfc5506612da75eb422ed9c7020adab8480139ddbc87ac1328f343e99
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size 440143216
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