Instructions to use Pis-py/m2m100_small_wo_frr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Pis-py/m2m100_small_wo_frr with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Pis-py/m2m100_small_wo_frr") model = AutoModelForSeq2SeqLM.from_pretrained("Pis-py/m2m100_small_wo_frr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aeca64e8ad8ff6612b6e10dc2b11f20ce13a579265aab987f3048fcc39fe9e8a
- Size of remote file:
- 3.5 kB
- SHA256:
- 0150239dd9875ee30a1f882e34aca0c189797c359a4b886dc762d0bc41d73fb3
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