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: 297 Bytes
8bc497b | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"add_prefix_space": false,
"backend": "tokenizers",
"bos_token": "<|endoftext|>",
"eos_token": "<|endoftext|>",
"errors": "replace",
"is_local": false,
"model_max_length": 1024,
"pad_token": "<|endoftext|>",
"tokenizer_class": "GPT2Tokenizer",
"unk_token": "<|endoftext|>"
}
|