Instructions to use ramkrish120595/debug_seq2seq_squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ramkrish120595/debug_seq2seq_squad 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="ramkrish120595/debug_seq2seq_squad")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ramkrish120595/debug_seq2seq_squad") model = AutoModelForQuestionAnswering.from_pretrained("ramkrish120595/debug_seq2seq_squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from ramkrish120595/debug_seq2seq_squad: direct link, hf CLI and curl.
- Browser
- Download file 286 Bytes
-
https://huggingface.co/ramkrish120595/debug_seq2seq_squad/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://ramkrish120595/debug_seq2seq_squad/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/ramkrish120595/debug_seq2seq_squad/resolve/main/tokenizer_config.json
286 Bytes
| { | |
| "add_prefix_space": false, | |
| "bos_token": "<s>", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "</s>", | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "<pad>", | |
| "padding_side": "left", | |
| "tokenizer_class": "BloomTokenizer", | |
| "unk_token": "<unk>" | |
| } | |