One of the best videos I know when it comes to putting NLP into production.
With the power of spaCy v3 and the underlying thinc library for robustness and reproducibility btw. the declarative config system is unbeaten.
@explosion_ai
↓ 1/4
With the power of spaCy v3 and the underlying thinc library for robustness and reproducibility btw. the declarative config system is unbeaten.
@explosion_ai
↓ 1/4
Learn more about spaCy v3.0 and its new features like: transformer-based pipelines, the new training config and workflow system to help you take projects from prototype to production.
STEP BY STEP
↓ 2/4
STEP BY STEP
↓ 2/4
01:54 – State-of-the-art transformer-based pipelines
05:03 – Declarative configuration system
11:06 – Workflows for end-to-end projects
17:03 – Trainable and rule-based components
21:43 – Custom models in any framework
26:20 – Features and summary
↓ 3/4
05:03 – Declarative configuration system
11:06 – Workflows for end-to-end projects
17:03 – Trainable and rule-based components
21:43 – Custom models in any framework
26:20 – Features and summary
↓ 3/4
● Website & documentation: spacy.io
● GitHub: github.com/explosion/spaCy
● Free online course: course.spacy.io
● Thinc: thinc.ai
4/4
● GitHub: github.com/explosion/spaCy
● Free online course: course.spacy.io
● Thinc: thinc.ai
4/4
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