Instructions to use Ameer05/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ameer05/test with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" 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("summarization", model="Ameer05/test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ameer05/test") model = AutoModelForSeq2SeqLM.from_pretrained("Ameer05/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from Ameer05/test: direct link, hf CLI and curl.
- Browser
- Download file 470 Bytes
-
https://huggingface.co/Ameer05/test/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://Ameer05/test/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/Ameer05/test/resolve/main/tokenizer_config.json
470 Bytes
| {"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "add_prefix_space": false, "errors": "replace", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false, "__type": "AddedToken"}, "trim_offsets": true, "model_max_length": 1024, "special_tokens_map_file": null, "name_or_path": "Ameer05/tokenizer-repo", "tokenizer_class": "BartTokenizer"} |