Instructions to use XyperAI/mmbert-sft-phase-2-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use XyperAI/mmbert-sft-phase-2-final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="XyperAI/mmbert-sft-phase-2-final")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("XyperAI/mmbert-sft-phase-2-final") model = AutoModelForMaskedLM.from_pretrained("XyperAI/mmbert-sft-phase-2-final", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from XyperAI/mmbert-sft-phase-2-final: direct link, hf CLI and curl.
- Browser
- Download file 34.4 MB
-
https://huggingface.co/XyperAI/mmbert-sft-phase-2-final/resolve/main/tokenizer.json
- Command line
-
hf download hf://XyperAI/mmbert-sft-phase-2-final/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/XyperAI/mmbert-sft-phase-2-final/resolve/main/tokenizer.json
34.4 MB
- Xet hash:
- a853bbedd87114c432148c2da564a082d68a009d47735e52b6dd803a310ec2de
- Size of remote file:
- 34.4 MB
- SHA256:
- 609d8f4c067cd3950f88594c5a802616cea245823836ef5848ee4fc40aab5b6f
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