Instructions to use bumblebee-testing/tiny-random-Phi3ForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bumblebee-testing/tiny-random-Phi3ForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bumblebee-testing/tiny-random-Phi3ForSequenceClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bumblebee-testing/tiny-random-Phi3ForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("bumblebee-testing/tiny-random-Phi3ForSequenceClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from bumblebee-testing/tiny-random-Phi3ForSequenceClassification: direct link, hf CLI and curl.
- Browser
- Download file 826 Bytes
-
https://huggingface.co/bumblebee-testing/tiny-random-Phi3ForSequenceClassification/resolve/main/config.json
- Command line
-
hf download hf://bumblebee-testing/tiny-random-Phi3ForSequenceClassification/config.json
-
curl -L -o config.json https://huggingface.co/bumblebee-testing/tiny-random-Phi3ForSequenceClassification/resolve/main/config.json
826 Bytes
| { | |
| "architectures": [ | |
| "Phi3ForSequenceClassification" | |
| ], | |
| "attention_dropout": 0.0, | |
| "attention_probs_dropout_prob": 0.1, | |
| "bos_token_id": 1, | |
| "embd_pdrop": 0.0, | |
| "eos_token_id": 32000, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 32, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 37, | |
| "max_position_embeddings": 512, | |
| "model_type": "phi3", | |
| "num_attention_heads": 4, | |
| "num_hidden_layers": 2, | |
| "num_key_value_heads": 4, | |
| "original_max_position_embeddings": 4096, | |
| "pad_token_id": 0, | |
| "resid_pdrop": 0.0, | |
| "rms_norm_eps": 1e-05, | |
| "rope_scaling": null, | |
| "rope_theta": 10000.0, | |
| "sliding_window": null, | |
| "tie_word_embeddings": false, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.41.0.dev0", | |
| "type_vocab_size": 16, | |
| "use_cache": true, | |
| "vocab_size": 1024 | |
| } | |