Text Classification
Transformers
TensorBoard
Safetensors
llama
Generated from Trainer
text-embeddings-inference
Instructions to use rd211/SmolLM2-1.7B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rd211/SmolLM2-1.7B-Instruct with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rd211/SmolLM2-1.7B-Instruct")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rd211/SmolLM2-1.7B-Instruct") model = AutoModelForSequenceClassification.from_pretrained("rd211/SmolLM2-1.7B-Instruct", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "LlamaForSequenceClassification" | |
| ], | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 1, | |
| "eos_token_id": 2, | |
| "head_dim": 64, | |
| "hidden_act": "silu", | |
| "hidden_size": 2048, | |
| "id2label": { | |
| "0": "negative", | |
| "1": "neutral", | |
| "2": "positive" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 8192, | |
| "label2id": { | |
| "negative": 0, | |
| "neutral": 1, | |
| "positive": 2 | |
| }, | |
| "max_position_embeddings": 8192, | |
| "mlp_bias": false, | |
| "model_type": "llama", | |
| "num_attention_heads": 32, | |
| "num_hidden_layers": 24, | |
| "num_key_value_heads": 32, | |
| "pad_token_id": 2, | |
| "pretraining_tp": 1, | |
| "problem_type": "single_label_classification", | |
| "rms_norm_eps": 1e-05, | |
| "rope_scaling": null, | |
| "rope_theta": 130000, | |
| "tie_word_embeddings": true, | |
| "torch_dtype": "bfloat16", | |
| "transformers.js_config": { | |
| "dtype": "q4", | |
| "kv_cache_dtype": { | |
| "fp16": "float16", | |
| "q4f16": "float16" | |
| }, | |
| "use_external_data_format": { | |
| "model.onnx": true, | |
| "model_fp16.onnx": true | |
| } | |
| }, | |
| "transformers_version": "4.51.3", | |
| "use_cache": false, | |
| "vocab_size": 49152 | |
| } | |