Instructions to use arver/inter_iit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arver/inter_iit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="arver/inter_iit")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("arver/inter_iit") model = AutoModelForQuestionAnswering.from_pretrained("arver/inter_iit") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 724e466647f4a36a682becfa39d72229778af9e85023341b2b8b24d3064e425f
- Size of remote file:
- 265 MB
- SHA256:
- 6ee7d902a14b6741cc836ac070ae7b1c623198e9a9d3599bcd12eceb52520de1
路
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