Instructions to use Synthyra/Profluent-E1-150M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Synthyra/Profluent-E1-150M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Synthyra/Profluent-E1-150M", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("Synthyra/Profluent-E1-150M", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "E1ForMaskedLM" | |
| ], | |
| "attn_backend": "sdpa", | |
| "auto_map": { | |
| "AutoConfig": "modeling_e1.E1Config", | |
| "AutoModel": "modeling_e1.E1Model", | |
| "AutoModelForMaskedLM": "modeling_e1.E1ForMaskedLM", | |
| "AutoModelForSequenceClassification": "modeling_e1.E1ForSequenceClassification", | |
| "AutoModelForTokenClassification": "modeling_e1.E1ForTokenClassification" | |
| }, | |
| "bos_token_id": 1, | |
| "clip_qkv": 8, | |
| "dtype": "bfloat16", | |
| "eos_token_id": 2, | |
| "gated_mlp": true, | |
| "global_attention_every_n_layers": 3, | |
| "gradient_checkpointing": false, | |
| "hidden_act": "silu", | |
| "hidden_size": 768, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 2304, | |
| "max_num_positions_global": 65536, | |
| "max_num_positions_within_seq": 8192, | |
| "max_num_sequences": 512, | |
| "model_type": "E1", | |
| "no_ffn_gradient_checkpointing": true, | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 20, | |
| "num_key_value_heads": 12, | |
| "pad_token_id": 0, | |
| "rms_norm_eps": 1e-05, | |
| "rope_theta_global": 500000.0, | |
| "rope_theta_within_seq": 10000.0, | |
| "tie_word_embeddings": false, | |
| "transformers_version": "4.57.6", | |
| "use_cache": true, | |
| "vocab_size": 34 | |
| } | |