Instructions to use hf-internal-testing/tiny-random-BloomForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BloomForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-internal-testing/tiny-random-BloomForSequenceClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-BloomForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("hf-internal-testing/tiny-random-BloomForSequenceClassification") - Notebooks
- Google Colab
- Kaggle
| { | |
| "add_prefix_space": false, | |
| "bos_token": "<s>", | |
| "eos_token": "</s>", | |
| "model_max_length": 1000000000000000019884624838656, | |
| "name_or_path": "bigscience/bloom", | |
| "pad_token": "<pad>", | |
| "padding_side": "left", | |
| "special_tokens_map_file": null, | |
| "tokenizer_class": "BloomTokenizer", | |
| "unk_token": "<unk>" | |
| } | |