Instructions to use daki97/visualbert_finetuned_easy_vqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use daki97/visualbert_finetuned_easy_vqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="daki97/visualbert_finetuned_easy_vqa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("daki97/visualbert_finetuned_easy_vqa") model = AutoModelForQuestionAnswering.from_pretrained("daki97/visualbert_finetuned_easy_vqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e5e23b1c61386db6eb537fbf96620ee03d6a57d0fa6ef03fd932e9c35a449f1
- Size of remote file:
- 441 MB
- SHA256:
- 4718f775ae341857b2ed1da141959ea561f8d420ffa6a11e68da7c1c9c3f6e34
路
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