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
|
Download README.md from anirvankrishna/TaskB_Full_Finetune: direct link, hf CLI and curl.
- Browser
- Download file 126 Bytes
-
https://huggingface.co/anirvankrishna/TaskB_Full_Finetune/resolve/main/README.md
- Command line
-
hf download hf://anirvankrishna/TaskB_Full_Finetune/README.md
-
curl -L -o README.md https://huggingface.co/anirvankrishna/TaskB_Full_Finetune/resolve/main/README.md
126 Bytes
| language: | |
| - en | |
| base_model: | |
| - openai-community/gpt2-medium | |
| pipeline_tag: question-answering | |
| library_name: transformers | |