Instructions to use mathildeparlo/base_seq_lab_bengali with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mathildeparlo/base_seq_lab_bengali with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="mathildeparlo/base_seq_lab_bengali")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("mathildeparlo/base_seq_lab_bengali") model = AutoModelForQuestionAnswering.from_pretrained("mathildeparlo/base_seq_lab_bengali", 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:b56e1eb2613f27cc94a5a5e60fde8ce989c05d6b6b4e06c362342931009b3f4b
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size 265470032
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