Instructions to use roscazo/CTEBMSP_ner_test2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use roscazo/CTEBMSP_ner_test2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="roscazo/CTEBMSP_ner_test2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("roscazo/CTEBMSP_ner_test2") model = AutoModelForTokenClassification.from_pretrained("roscazo/CTEBMSP_ner_test2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from roscazo/CTEBMSP_ner_test2: direct link, hf CLI and curl.
- Browser
- Download file 3.39 kB
-
https://huggingface.co/roscazo/CTEBMSP_ner_test2/resolve/main/training_args.bin
- Command line
-
hf download hf://roscazo/CTEBMSP_ner_test2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/roscazo/CTEBMSP_ner_test2/resolve/main/training_args.bin
3.39 kB
- Xet hash:
- 75989565775bdb99be69e3503eb1a94494d9cabf337d3e562f6476f8be3c11f1
- Size of remote file:
- 3.39 kB
- SHA256:
- 721990a6fa7b3f7d135e54c5fd6b428228ffaf8c4d0de2e2eebd7cf21a50ade0
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