Instructions to use ScriptEdgeAI/MarathiSentiment-Bloom-560m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ScriptEdgeAI/MarathiSentiment-Bloom-560m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ScriptEdgeAI/MarathiSentiment-Bloom-560m")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ScriptEdgeAI/MarathiSentiment-Bloom-560m") model = AutoModelForSequenceClassification.from_pretrained("ScriptEdgeAI/MarathiSentiment-Bloom-560m") - Notebooks
- Google Colab
- Kaggle
File size: 268 Bytes
01d4f53 | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"add_prefix_space": false,
"bos_token": "<s>",
"eos_token": "</s>",
"name_or_path": "bigscience/bloom-560m",
"pad_token": "<pad>",
"padding_side": "left",
"special_tokens_map_file": null,
"tokenizer_class": "BloomTokenizer",
"unk_token": "<unk>"
}
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