Instructions to use alphaedge-ai/mt5-small-srp-32768 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alphaedge-ai/mt5-small-srp-32768 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="alphaedge-ai/mt5-small-srp-32768")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("alphaedge-ai/mt5-small-srp-32768") model = AutoModelForSeq2SeqLM.from_pretrained("alphaedge-ai/mt5-small-srp-32768", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 153 Bytes
a0a2c48 | 1 2 3 4 5 6 7 8 | {
"_from_model_config": true,
"decoder_start_token_id": 0,
"eos_token_id": 1,
"pad_token_id": 0,
"transformers_version": "5.3.0.dev0"
}
|