Hugging Face Transformers
A collaborative platform for machine learning development and AI model sharing
- Also known as
- hugging-face-transformers, Hugging Face
Available worldwide
What is Hugging Face Transformers?
A community-driven hub where developers can create, discover, and collaborate on AI models, datasets, and applications with integrated compute resources and deployment capabilities.
Hugging Face Transformers pricing
Plans, per-tier features and add-ons, dated and linked to live pricing. Pricing changes often; always verify at source before you rely on it.
PRO at $9/month, Team from $20/user/month, storage from $8/TB/month, compute starting at $0.033/hour. Free tier available.
PRO
Personal account upgrade
- Private storage
- 20× included inference credits
- Host ZeroGPU, Gradio & Docker Spaces
- 8× ZeroGPU quota
- Highest queue priority
- PRO badge
Team
Growing teams
- Single Sign-On
- Regions
- Priority Support
- Audit Logs
- Resource Groups
- Access 45,000+ models via unified API
Enterprise
Contact salesCustom onboarding and enterprise features
- Enterprise-grade security
- Access controls
- Dedicated support
- Custom configuration
Add-ons
- Storage$12 per TB/month + $8 per TB/month + $10 per TB/month
- Spaces Hardware$0.03 per hour + $0.40 per hour + $0.80 per hour + $23.50 per hour
- Inference Endpoints$0.03 per hour + $4.50 per hour + $74 per hour
Platform & deployment
Independently observed- CLI
- Web
- Cloud / SaaS
Integrations (5)
Independently observed- Kaggle
- AWS
- Azure
- GCP
- NVIDIA DGX Cloud
Hugging Face Transformers alternatives
Other nlp apis we track, ranked by the same independent score.
- CohereAI platform that keeps your data and models under your control, deployed on your infrastructurelow · 45%
- NLTKlow · 21%
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- spaCylow · 32%
- Stanford CoreNLPlow · 24%
Compare Hugging Face Transformers
Side by side against other nlp apis, attribute by attribute, with a source on every value.
The Vioscale score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Hugging Face Transformers, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Pricing transparency | 100 | 0.08 | 8.4 | ✓ |
| Price level | 80 | 0.05 | 4.2 | ✓ |
| Integrations | 22 | 0.04 | 0.9 | ✓ |
| Reliability | 0 | 0.07 | 0.0 | - |
| Capabilities | 0 | 0.05 | 0.0 | - |
| Security posture | 5 | 0.07 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 5 | mediumsource · 2026-08-19 · 60% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | highsource · 2026-08-19 · 75% |
Pricing
Security
| Attribute | Value | Evidence |
|---|---|---|
| Gdpr | Yes | highsource · 2026-08-19 · 75% |