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| Name | Quant method | Size |
|---|---|---|
| gpt2-small-italian.Q2_K.gguf | Q2_K | 0.06GB |
| gpt2-small-italian.IQ3_XS.gguf | IQ3_XS | 0.06GB |
| gpt2-small-italian.IQ3_S.gguf | IQ3_S | 0.06GB |
| gpt2-small-italian.Q3_K_S.gguf | Q3_K_S | 0.06GB |
| gpt2-small-italian.IQ3_M.gguf | IQ3_M | 0.07GB |
| gpt2-small-italian.Q3_K.gguf | Q3_K | 0.07GB |
| gpt2-small-italian.Q3_K_M.gguf | Q3_K_M | 0.07GB |
| gpt2-small-italian.Q3_K_L.gguf | Q3_K_L | 0.07GB |
| gpt2-small-italian.IQ4_XS.gguf | IQ4_XS | 0.07GB |
| gpt2-small-italian.Q4_0.gguf | Q4_0 | 0.08GB |
| gpt2-small-italian.IQ4_NL.gguf | IQ4_NL | 0.08GB |
| gpt2-small-italian.Q4_K_S.gguf | Q4_K_S | 0.08GB |
| gpt2-small-italian.Q4_K.gguf | Q4_K | 0.08GB |
| gpt2-small-italian.Q4_K_M.gguf | Q4_K_M | 0.08GB |
| gpt2-small-italian.Q4_1.gguf | Q4_1 | 0.08GB |
| gpt2-small-italian.Q5_0.gguf | Q5_0 | 0.09GB |
| gpt2-small-italian.Q5_K_S.gguf | Q5_K_S | 0.09GB |
| gpt2-small-italian.Q5_K.gguf | Q5_K | 0.09GB |
| gpt2-small-italian.Q5_K_M.gguf | Q5_K_M | 0.09GB |
| gpt2-small-italian.Q5_1.gguf | Q5_1 | 0.1GB |
| gpt2-small-italian.Q6_K.gguf | Q6_K | 0.1GB |
gpt2) model.gpt2-small-dutch-embeddings: Small model size with only retrained lexical embeddings.gpt2-small-dutch: Small model size with retrained lexical embeddings and additional fine-tuning of the full model. (Recommended)gpt2-medium-dutch-embeddings: Medium model size with only retrained lexical embeddings.gpt2-small-italian-embeddings: Small model size with only retrained lexical embeddings.gpt2-small-italian: Small model size with retrained lexical embeddings and additional fine-tuning of the full model. (Recommended)gpt2-medium-italian-embeddings: Medium model size with only retrained lexical embeddings.1from transformers import pipeline
2
3pipe = pipeline("text-generation", model="GroNLP/gpt2-small-italian")1from transformers import AutoTokenizer, AutoModel, TFAutoModel
2
3tokenizer = AutoTokenizer.from_pretrained("GroNLP/gpt2-small-italian")
4model = AutoModel.from_pretrained("GroNLP/gpt2-small-italian") # PyTorch
5model = TFAutoModel.from_pretrained("GroNLP/gpt2-small-italian") # Tensorflow1@misc{devries2020good,
2 title={As good as new. How to successfully recycle English GPT-2 to make models for other languages},
3 author={Wietse de Vries and Malvina Nissim},
4 year={2020},
5 eprint={2012.05628},
6 archivePrefix={arXiv},
7 primaryClass={cs.CL}
8}