Instructions to use hf-internal-testing/tiny-random-PhiForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-PhiForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-internal-testing/tiny-random-PhiForTokenClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-PhiForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-internal-testing/tiny-random-PhiForTokenClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from hf-internal-testing/tiny-random-PhiForTokenClassification: direct link, hf CLI and curl.
- Browser
- Download file 513 Bytes
-
https://huggingface.co/hf-internal-testing/tiny-random-PhiForTokenClassification/resolve/refs%2Fpr%2F11/tokenizer_config.json
- Command line
-
hf download hf://hf-internal-testing/tiny-random-PhiForTokenClassification@refs/pr/11/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/hf-internal-testing/tiny-random-PhiForTokenClassification/resolve/refs%2Fpr%2F11/tokenizer_config.json
513 Bytes
| { | |
| "add_bos_token": false, | |
| "add_prefix_space": false, | |
| "added_tokens_decoder": { | |
| "0": { | |
| "content": "<|endoftext|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| } | |
| }, | |
| "bos_token": "<|endoftext|>", | |
| "clean_up_tokenization_spaces": true, | |
| "eos_token": "<|endoftext|>", | |
| "errors": "replace", | |
| "model_max_length": 512, | |
| "pad_token": null, | |
| "tokenizer_class": "CodeGenTokenizer", | |
| "unk_token": "<|endoftext|>" | |
| } | |