Instructions to use roscazo/CTEBMSP_ner_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use roscazo/CTEBMSP_ner_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="roscazo/CTEBMSP_ner_test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("roscazo/CTEBMSP_ner_test") model = AutoModelForTokenClassification.from_pretrained("roscazo/CTEBMSP_ner_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from roscazo/CTEBMSP_ner_test: direct link, hf CLI and curl.
- Browser
- Download file 3.39 kB
-
https://huggingface.co/roscazo/CTEBMSP_ner_test/resolve/main/training_args.bin
- Command line
-
hf download hf://roscazo/CTEBMSP_ner_test/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/roscazo/CTEBMSP_ner_test/resolve/main/training_args.bin
3.39 kB
- Xet hash:
- cbfe2fc127cadf19bdf894c006091af593b311520524c87de48358a471d63af7
- Size of remote file:
- 3.39 kB
- SHA256:
- fe8f42c277e76d9b9f72958dba45295d9bdb1e4ff6b7d6b6bfc26e58902cd199
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