Instructions to use Taykhoom/gLM-650M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Taykhoom/gLM-650M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Taykhoom/gLM-650M", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("Taykhoom/gLM-650M", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "gLM2ForMaskedLM" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "configuration_glm2.gLM2Config", | |
| "AutoModel": "modeling_glm2.gLM2Model", | |
| "AutoModelForMaskedLM": "modeling_glm2.gLM2ForMaskedLM" | |
| }, | |
| "cls_token_id": 0, | |
| "depth": 33, | |
| "dim": 1280, | |
| "dtype": "float32", | |
| "eos_token_id": 2, | |
| "ffn_dim_multiplier": null, | |
| "heads": 20, | |
| "initializer_range": 0.02, | |
| "mask_token_id": 35, | |
| "max_position_embeddings": 4096, | |
| "model_type": "gLM2", | |
| "norm_eps": 1e-05, | |
| "pad_token_id": 1, | |
| "swiglu_multiple_of": 256, | |
| "tie_word_embeddings": false, | |
| "transformers_version": "4.57.6", | |
| "vocab_size": 37 | |
| } | |