Instructions to use anirvankrishna/TaskB_Full_Finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anirvankrishna/TaskB_Full_Finetune with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="anirvankrishna/TaskB_Full_Finetune")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("anirvankrishna/TaskB_Full_Finetune") model = AutoModelForCausalLM.from_pretrained("anirvankrishna/TaskB_Full_Finetune", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 118 Bytes
8bc497b | 1 2 3 4 5 6 7 | {
"_from_model_config": true,
"bos_token_id": 50256,
"eos_token_id": 50256,
"transformers_version": "5.0.0"
}
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