Instructions to use optimum-internal-testing/tiny-random-encoder-decoder-gpt2-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use optimum-internal-testing/tiny-random-encoder-decoder-gpt2-bert with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("optimum-internal-testing/tiny-random-encoder-decoder-gpt2-bert") model = AutoModelForSeq2SeqLM.from_pretrained("optimum-internal-testing/tiny-random-encoder-decoder-gpt2-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from optimum-internal-testing/tiny-random-encoder-decoder-gpt2-bert: direct link, hf CLI and curl.
- Browser
- Download file 441 Bytes
-
https://huggingface.co/optimum-internal-testing/tiny-random-encoder-decoder-gpt2-bert/resolve/c33d2b7ac989b8d01fc29e3f9eeb83dcb6979c46/tokenizer_config.json
- Command line
-
hf download hf://optimum-internal-testing/tiny-random-encoder-decoder-gpt2-bert@c33d2b7ac989b8d01fc29e3f9eeb83dcb6979c46/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/optimum-internal-testing/tiny-random-encoder-decoder-gpt2-bert/resolve/c33d2b7ac989b8d01fc29e3f9eeb83dcb6979c46/tokenizer_config.json
441 Bytes
| { | |
| "add_prefix_space": false, | |
| "added_tokens_decoder": { | |
| "0": { | |
| "content": "<|endoftext|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| } | |
| }, | |
| "bos_token": "<|endoftext|>", | |
| "clean_up_tokenization_spaces": true, | |
| "eos_token": "<|endoftext|>", | |
| "model_max_length": 1024, | |
| "tokenizer_class": "GPT2Tokenizer", | |
| "unk_token": "<|endoftext|>" | |
| } | |